{"id":2667,"date":"2026-04-12T10:46:11","date_gmt":"2026-04-12T10:46:11","guid":{"rendered":"https:\/\/datico.com\/new-system-partner-polar\/"},"modified":"2026-05-02T16:14:24","modified_gmt":"2026-05-02T16:14:24","slug":"new-system-partner-polar","status":"publish","type":"post","link":"https:\/\/datico.com\/en\/system-partner-news\/new-system-partner-polar\/","title":{"rendered":"POLAR"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"2667\" class=\"elementor elementor-2667 elementor-2663\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-38c306d e-flex e-con-boxed e-con e-parent\" data-id=\"38c306d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-707dd94 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"707dd94\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41ce63e elementor-widget elementor-widget-text-editor\" data-id=\"41ce63e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-section-id=\"hzb4wk\" data-start=\"0\" data-end=\"80\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>System Partner | <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c887580 elementor-widget elementor-widget-heading\" data-id=\"c887580\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">POLAR<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b988d2a elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b988d2a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7018350 elementor-widget elementor-widget-text-editor\" data-id=\"7018350\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4 data-section-id=\"d92e86\" data-start=\"319\" data-end=\"394\"><span role=\"text\">Data protection-compliant wearable integration<\/span><\/h4><p data-start=\"396\" data-end=\"813\">The integration of wearables from <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar Electro<\/span><\/span> into the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect solutions creates new possibilities for data protection-compliant use of wearable data with significantly expanded analysis options.<\/p><hr data-start=\"815\" data-end=\"818\"><h4><span role=\"text\"><strong data-start=\"823\" data-end=\"873\"><br><\/strong>Flexible integration of modern wearable systems<\/span><\/h4><p data-start=\"875\" data-end=\"1071\"><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar Electro <\/span><\/span>is one of the technological leaders in the wearables sector &#8211; with a long history as a pioneer in the field of heart rate measurement. Today, POLAR delivers precise and complex wearable solutions with a variety of integrated sensors. <\/p><p data-start=\"1073\" data-end=\"1148\">Integration into the Datico platform takes place via two solutions:<\/p><ul data-start=\"1150\" data-end=\"1227\"><li data-section-id=\"14799un\" data-start=\"1150\" data-end=\"1191\"><a title=\"Datico Wearable Connect Cloud\" href=\"https:\/\/datico.com\/en\/?page_id=4583\" target=\"_blank\" rel=\"noopener\"><strong data-start=\"1152\" data-end=\"1189\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Cloud<\/strong><\/a><\/li><li data-section-id=\"16bvud4\" data-start=\"1192\" data-end=\"1227\"><a title=\"Datico Wearable Connect Bluetooth\" href=\"https:\/\/datico.com\/en\/?page_id=5782\" target=\"_blank\" rel=\"noopener\"><strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Bluetooth<\/strong><\/a><\/li><\/ul><p data-start=\"1229\" data-end=\"1433\"><br>This provides flexible integration paths that cover both real-time scenarios and cloud-based use cases &#8211; without the typical limitations of proprietary manufacturer platforms.<\/p><hr data-start=\"1435\" data-end=\"1438\"><h4 data-section-id=\"pps27j\" data-start=\"2231\" data-end=\"2291\"><span role=\"text\"><strong data-start=\"2234\" data-end=\"2291\"><br><\/strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Cloud:<br>Addition to the <\/span><span role=\"text\">P<\/span><span role=\"text\">OLAR<\/span><span role=\"text\"> Flow <\/span><span role=\"text\">cloud solution <\/span> <\/h4><p data-section-id=\"pps27j\" data-start=\"2231\" data-end=\"2291\"><strong><span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Cloud<\/span><\/strong> extends the classic use of the Polar Flow Cloud with a central, cross-system data processing layer, creating new possibilities, particularly for <strong>clinical applications, scientific studies<\/strong> and <strong>health management solutions<\/strong>. In these contexts, the platform enables structured collection, management and evaluation of wearable data across multiple users and thus opens up significantly expanded analysis and control options. <\/p><p data-start=\"740\" data-end=\"1064\">A significant added value lies in the <strong data-start=\"779\" data-end=\"834\">comprehensive aggregation and evaluation of data<\/strong>:<br data-start=\"835\" data-end=\"838\">data from several Polar Flow accounts can be centrally merged, processed in a structured manner and analyzed in a common context. This is particularly useful for clinical and scientific applications: <\/p><ul data-start=\"1066\" data-end=\"1337\"><li data-section-id=\"9402cs\" data-start=\"1066\" data-end=\"1135\">the consolidated management of study participants and wearables<\/li><li data-section-id=\"p90wgi\" data-start=\"1136\" data-end=\"1196\">the central recording and synchronization of measurement data<\/li><li data-section-id=\"d758ub\" data-start=\"1197\" data-end=\"1275\">the implementation of comprehensive analyses across several user groups<\/li><li data-section-id=\"dlbxex\" data-start=\"1276\" data-end=\"1337\">Structured further processing in external systems<\/li><\/ul><p data-start=\"1625\" data-end=\"1741\"><br>Result:<br data-start=\"1637\" data-end=\"1640\">A significantly enhanced analysis capability compared to the isolated use of manufacturer platforms.<\/p><p data-start=\"1743\" data-end=\"2107\">A second key aspect is the <strong data-start=\"1780\" data-end=\"1847\">improved data protection classification of the data processing<\/strong>: although the initial data collection still takes place via the Polar Flow Cloud, the integration into <span role=\"text\"><strong data-start=\"2234\" data-end=\"2291\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup><\/strong><\/span>creates an additional processing layer that can be used to conclude a <strong data-start=\"2037\" data-end=\"2080\">data processing agreement (DPA)<\/strong>.<\/p><p>The <span role=\"text\"><span style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/span>Wearable Connect Cloud <\/span>thus represents a pragmatic approach to expanding existing manufacturer solutions with structured analysis and integration options and at the same time improving the level of data protection in a targeted manner.<\/p><hr data-start=\"2906\" data-end=\"2909\"><h4 data-section-id=\"pps27j\" data-start=\"2231\" data-end=\"2291\"><span role=\"text\"><strong data-start=\"2234\" data-end=\"2291\"><br><\/strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Bluetooth<br><\/span><span role=\"text\">Full data control and direct integration<\/span><\/h4><p data-section-id=\"pps27j\" data-start=\"2231\" data-end=\"2291\"><strong><span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Bluetooth <\/span><\/strong>represents the consistently data protection-compliant integration approach and enables direct, fully controlled collection of wearable data &#8211; <strong data-start=\"539\" data-end=\"578\">without using a manufacturer&#8217;s cloud<\/strong>.<\/p><p data-start=\"581\" data-end=\"867\">The technical implementation takes place via the <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>LIFE APP<\/span>, which acts as the central interface between the wearable and the platform. The app synchronizes the data directly with the respective device and transfers it to the <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup><\/span>system architecture in a structured manner. <\/p><p data-start=\"869\" data-end=\"1207\">A key advantage here is the <strong data-start=\"910\" data-end=\"952\">completely autonomous data transfer<\/strong>:<br data-start=\"953\" data-end=\"956\">The data is transferred directly from the wearable to the respective target environment &#8211; for example to the IT infrastructure of a clinic, university or company &#8211; without external intermediate storage or forwarding via third-party platforms.<\/p><p data-start=\"1209\" data-end=\"1342\">This creates fully controllable data paths, which are essential in sensitive application areas in particular, for example:<\/p><ul data-start=\"1343\" data-end=\"1624\"><li data-section-id=\"1g5hngn\" data-start=\"1343\" data-end=\"1406\">in clinical environments with high data protection requirements<\/li><li data-section-id=\"1kyhy5\" data-start=\"1407\" data-end=\"1478\">in scientific studies with strict regulatory requirements<\/li><li data-section-id=\"bjbc25\" data-start=\"1479\" data-end=\"1552\">in safety-critical areas such as the military, police or authorities<\/li><li data-section-id=\"8boetd\" data-start=\"1553\" data-end=\"1624\">in industrial applications with isolated system architectures<\/li><\/ul><p data-start=\"1626\" data-end=\"1812\"><br>Result:<br data-start=\"1638\" data-end=\"1641\">End-to-end data sovereignty, maximum transparency across all data flows and the ability to create completely isolated and data protection-compliant system landscapes.<\/p><h4 data-section-id=\"yxq2k9\" data-start=\"1819\" data-end=\"1894\"><span role=\"text\">Extended data collection through combined sensor and feedback data<\/span><\/h4><p data-start=\"1896\" data-end=\"2040\">A key added value of this approach lies in the combination of automated sensor data acquisition and individual user interaction.<\/p><p data-start=\"2042\" data-end=\"2285\">In addition to the wearable data, the <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>LIFE APP Bluetooth<\/span> can also be used to play out <strong data-start=\"2137\" data-end=\"2186\">individual questionnaires and feedback forms<\/strong>. These are flexibly configured and enabled via the <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Smart Forms Bluetooth<\/span>: <\/p><ul data-start=\"2287\" data-end=\"2554\"><li data-section-id=\"f2f1q6\" data-start=\"2287\" data-end=\"2383\">the assessment of subjective parameters (e.g. perception of stress, sleep quality, well-being)<\/li><li data-section-id=\"783ho8\" data-start=\"2384\" data-end=\"2454\">the addition of contextual information to objective sensor data<\/li><li data-section-id=\"1oewis9\" data-start=\"2455\" data-end=\"2554\">Individual adaptation to study protocols, clinical requirements or training concepts<\/li><\/ul><p data-start=\"2556\" data-end=\"2690\"><br>This results in a significantly expanded database that integrates both objective measurements as well as personal feedback and subjective assessments.<\/p><hr data-start=\"2906\" data-end=\"2909\"><h4 data-section-id=\"gu0her\" data-start=\"2911\" data-end=\"2964\"><span role=\"text\"><strong data-start=\"2914\" data-end=\"2964\"><br><\/strong>From wearable to integrated analysis platform<\/span><\/h4><p data-start=\"2966\" data-end=\"3158\">The data collected via <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect <\/span>is transferred into a comprehensive overall context in the <span role=\"text\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>LIFE HUB<\/span> and combined with other data sources, for example:<\/p><ul data-start=\"3160\" data-end=\"3286\"><li data-section-id=\"xtp8fv\" data-start=\"3160\" data-end=\"3193\">Training and performance data<\/li><li data-section-id=\"1izuvxh\" data-start=\"3194\" data-end=\"3217\">Clinical measured values<\/li><li data-section-id=\"2n0g00\" data-start=\"3218\" data-end=\"3249\">Environment and context data<\/li><li data-section-id=\"l2f416\" data-start=\"3250\" data-end=\"3286\">User feedback and historical data<\/li><\/ul><p data-start=\"3288\" data-end=\"3377\"><br>Based on this, powerful analysis and evaluation functions are available:<\/p><ul data-start=\"3379\" data-end=\"3799\"><li data-section-id=\"iypxw0\" data-start=\"3379\" data-end=\"3473\"><strong data-start=\"3381\" data-end=\"3397\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Index<br><\/strong>Aggregation of complex key figures into comprehensible performance indicators<\/li><li data-section-id=\"yt9fc4\" data-start=\"3474\" data-end=\"3576\"><strong data-start=\"3476\" data-end=\"3494\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Reference Sets<br><\/strong>Classification of measured values in defined evaluation contexts (e.g. traffic light logic)<\/li><li data-section-id=\"893wj8\" data-start=\"3577\" data-end=\"3660\"><strong data-start=\"3579\" data-end=\"3594\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> IDOL<br><\/strong>Comparison with individually defined target and ideal profiles<\/li><li data-section-id=\"1xl8ogx\" data-start=\"3661\" data-end=\"3735\"><strong data-start=\"3663\" data-end=\"3689\">Longitudinal analyses<br><\/strong>Development of parameters over time<\/li><li data-section-id=\"182bqsw\" data-start=\"3736\" data-end=\"3799\"><strong data-start=\"3738\" data-end=\"3754\">Benchmarking<br><\/strong>Comparison with reference and peer groups<\/li><\/ul><p data-start=\"3801\" data-end=\"3837\"><br>The platform also enables:<\/p><ul data-start=\"3838\" data-end=\"4087\"><li data-section-id=\"1ebp31k\" data-start=\"3838\" data-end=\"3898\">Integration in scientific tools (SPSS, MATLAB, R)<\/li><li data-section-id=\"3tmpjo\" data-start=\"3899\" data-end=\"4011\">Connection to BI systems such as <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Microsoft Power BI<\/span><\/span> or <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Qlik Sense<\/span><\/span><\/li><li data-section-id=\"1xn5ek4\" data-start=\"4012\" data-end=\"4087\">Transfer to clinical systems such as HIS or electronic patient files<\/li><\/ul><p data-start=\"4089\" data-end=\"4205\"><br>Result:<br data-start=\"4101\" data-end=\"4104\">A fully integrated database with maximum flexibility in analysis and further processing.<\/p><hr data-start=\"4207\" data-end=\"4210\"><h4 data-section-id=\"1llzv4f\" data-start=\"4212\" data-end=\"4253\"><span role=\"text\"><strong data-start=\"4215\" data-end=\"4253\"><br><\/strong>Target groups and specific added value<\/span><\/h4><p data-start=\"4255\" data-end=\"4341\">The integration opens up specific advantages for different areas of application:<\/p><ul data-start=\"4343\" data-end=\"5144\"><li data-section-id=\"1oqtpr\" data-start=\"4343\" data-end=\"4505\"><strong data-start=\"4345\" data-end=\"4388\">Research institutions &amp; universities<\/strong><br data-start=\"4388\" data-end=\"4391\">\u2192 GDPR-compliant data collection and flexible scientific analysis without dependence on consumer clouds<br><br><\/li><li data-section-id=\"1yhgwo9\" data-start=\"4507\" data-end=\"4644\"><strong data-start=\"4509\" data-end=\"4546\">Clinics &amp; rehabilitation centers<\/strong><br data-start=\"4546\" data-end=\"4549\">\u2192 Integration of wearable data into existing clinical systems and documentation processes<br><br><\/li><li data-section-id=\"2s7an2\" data-start=\"4646\" data-end=\"4778\"><strong data-start=\"4648\" data-end=\"4683\">Companies &amp; BGM service providers<\/strong><br data-start=\"4683\" data-end=\"4686\">\u2192 Development of scalable health and performance solutions for large user groups<br><br><\/li><li data-section-id=\"1vpyo2j\" data-start=\"4780\" data-end=\"4880\"><strong data-start=\"4782\" data-end=\"4800\">Insurance<\/strong><br data-start=\"4800\" data-end=\"4803\">\u2192 Use of valid, structured data for prevention and tariff models<br><br><\/li><li data-section-id=\"1jg1ynv\" data-start=\"4882\" data-end=\"5003\"><strong data-start=\"4884\" data-end=\"4919\">Industry &amp; software development<\/strong><br data-start=\"4919\" data-end=\"4922\">\u2192 Integration of wearables into individual platforms and digital products<br><br><\/li><li data-section-id=\"1uu5v1h\" data-start=\"5005\" data-end=\"5144\"><strong data-start=\"5007\" data-end=\"5038\">Military, authorities &amp; police<\/strong><br data-start=\"5038\" data-end=\"5041\">\u2192 Creation of completely sealed-off, secure system architectures without external cloud dependencies<\/li><\/ul><p data-start=\"5146\" data-end=\"5239\"><br>Polar technology is thus being transferred to new applications.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1b249a elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c1b249a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-827b641 e-grid e-con-boxed e-con e-parent\" data-id=\"827b641\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0b02f49 elementor-widget elementor-widget-heading\" data-id=\"0b02f49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><sup style=\"font-size: 0.55em;line-height: 0;vertical-align: 0.6em\">Datico\u00ae <\/sup>Wearable Connect:<br> CLOUD VS. BLUETOOTH<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-058a3d7 e-grid e-con-boxed e-con e-parent\" data-id=\"058a3d7\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6c34aea elementor-widget elementor-widget-text-editor\" data-id=\"6c34aea\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Criterion<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5511c7e elementor-widget elementor-widget-text-editor\" data-id=\"5511c7e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Wearable Connect Cloud<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-326e587 elementor-widget elementor-widget-text-editor\" data-id=\"326e587\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Wearable Connect Bluetooth<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41d1e64 elementor-widget elementor-widget-text-editor\" data-id=\"41d1e64\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Data path<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-34638dc elementor-widget elementor-widget-text-editor\" data-id=\"34638dc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>About Polar Flow Cloud<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b4622c elementor-widget elementor-widget-text-editor\" data-id=\"6b4622c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Directly from the device to the target environment<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe972f4 elementor-widget elementor-widget-text-editor\" data-id=\"fe972f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Privacy<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d288419 elementor-widget elementor-widget-text-editor\" data-id=\"d288419\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Improved protection (AVV possible)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2b01c21 elementor-widget elementor-widget-text-editor\" data-id=\"2b01c21\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Maximum data sovereignty, no third-party provider involved<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18785a7 elementor-widget elementor-widget-text-editor\" data-id=\"18785a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Cloud dependency<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3de141a elementor-widget elementor-widget-text-editor\" data-id=\"3de141a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Yes (Polar Cloud remains a component)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-19c9521 elementor-widget elementor-widget-text-editor\" data-id=\"19c9521\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>No (completely independent)<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4af2c71 elementor-widget elementor-widget-text-editor\" data-id=\"4af2c71\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Real-time capability<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87406ac elementor-widget elementor-widget-text-editor\" data-id=\"87406ac\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Restricted<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-690e066 elementor-widget elementor-widget-text-editor\" data-id=\"690e066\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Fully given<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-025567b elementor-widget elementor-widget-text-editor\" data-id=\"025567b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Analytical capability<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7467104 elementor-widget elementor-widget-text-editor\" data-id=\"7467104\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Enhanced by Datico<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4771c4c elementor-widget elementor-widget-text-editor\" data-id=\"4771c4c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Maximized through direct integration in Datico LIFE APP<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a9799e elementor-widget elementor-widget-text-editor\" data-id=\"8a9799e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Integration of external systems<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d12acd1 elementor-widget elementor-widget-text-editor\" data-id=\"d12acd1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Possible via Datico LIFE HUB<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69689bc elementor-widget elementor-widget-text-editor\" data-id=\"69689bc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Possible via Datico LIFE HUB and Datico LIFE APP (integration of additional sensors possible)  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60eb757 elementor-widget elementor-widget-text-editor\" data-id=\"60eb757\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Scaling<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0ae633d elementor-widget elementor-widget-text-editor\" data-id=\"0ae633d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Very well suited<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a16fc1f elementor-widget elementor-widget-text-editor\" data-id=\"a16fc1f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Very well suited<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7e7d526 e-flex e-con-boxed e-con e-parent\" data-id=\"7e7d526\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-04b9012 elementor-widget elementor-widget-text-editor\" data-id=\"04b9012\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>FAQ | Frequently asked questions<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c475a7 elementor-widget elementor-widget-heading\" data-id=\"0c475a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Integration of POLAR in the <sup style=\"font-size: 0.55em;line-height: 0;vertical-align: 0.6em\">Datico\u00ae<\/sup> LIFE HUB<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-294b794 e-flex e-con-boxed e-con e-parent\" data-id=\"294b794\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f1d71dd elementor-widget elementor-widget-n-accordion\" data-id=\"f1d71dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;expanded&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2530\" class=\"e-n-accordion-item\" open>\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"true\" aria-controls=\"e-n-accordion-item-2530\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Which Polar devices are compatible with Datico<sup>\u00ae<\/sup>? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2530\" class=\"elementor-element elementor-element-403308d e-flex e-con-boxed e-con e-child\" data-id=\"403308d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-faf1c5a elementor-widget elementor-widget-text-editor\" data-id=\"faf1c5a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"217\" data-end=\"383\">Compatibility depends on the chosen integration path and differs between <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup> Wearable Connect Cloud<\/strong> and <strong>Datico<\/strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\"><strong>\u00ae<\/strong> <\/sup><strong data-start=\"345\" data-end=\"382\"> Wearable Connect Bluetooth<\/strong>.<\/p><p data-start=\"385\" data-end=\"585\"><strong data-start=\"385\" data-end=\"419\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup> Wearable Connect Cloud:<\/strong><br data-start=\"419\" data-end=\"422\">In principle, all devices from <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar Electro Oy<\/span><\/span> that transfer their data to the Polar Flow Cloud are compatible.<br><br data-start=\"557\" data-end=\"560\">These include in particular<\/p><ul data-start=\"586\" data-end=\"695\"><li data-section-id=\"vac8jq\" data-start=\"586\" data-end=\"606\">Polar sports watches<\/li><li data-section-id=\"lw6k1g\" data-start=\"607\" data-end=\"631\">Heart rate sensors<\/li><li data-section-id=\"15bgolt\" data-start=\"632\" data-end=\"695\">Other wearables with a connection to the Polar Flow platform<\/li><\/ul><p data-start=\"697\" data-end=\"797\"><br>The prerequisite is that the respective devices provide their data via the Polar Flow Cloud.<\/p><p data-start=\"697\" data-end=\"797\"><strong data-start=\"804\" data-end=\"842\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup>Wearable Connect Bluetooth:<\/strong><br data-start=\"842\" data-end=\"845\">With direct integration via the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae <\/sup><span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\"> LIFE APP<\/span><\/span> compatibility is based on the <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar SDK<\/span><\/span>.<\/p><p data-start=\"996\" data-end=\"1028\">Support is provided in particular for<\/p><ul data-start=\"1029\" data-end=\"1187\"><li data-section-id=\"z55te7\" data-start=\"1029\" data-end=\"1055\">Polar H10 and Polar H9<\/li><li data-section-id=\"1g6x78a\" data-start=\"1056\" data-end=\"1123\">Bluetooth-enabled wearables with direct access to sensor data<\/li><li data-section-id=\"m8alfg\" data-start=\"1124\" data-end=\"1187\">Selected Polar sports watches with open data communication<\/li><\/ul><p data-start=\"1189\" data-end=\"1344\"><br>The decisive factor is whether the respective device can be addressed via the Polar SDK and enables direct access to the relevant measurement data.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2531\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2531\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How do the integration paths differ in terms of data protection and data control? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2531\" class=\"elementor-element elementor-element-5c5e9cc e-flex e-con-boxed e-con e-child\" data-id=\"5c5e9cc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6b9485f elementor-widget elementor-widget-text-editor\" data-id=\"6b9485f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"385\" data-end=\"542\">The choice of integration method has a direct influence on data protection, data sovereignty and system architecture. There are basically three different approaches: <\/p><hr data-start=\"544\" data-end=\"547\"><h4 data-section-id=\"59oui1\" data-start=\"549\" data-end=\"605\"><span role=\"text\"><br>1. use of the Polar Flow Cloud (standard approach)<\/span><\/h4><p data-start=\"607\" data-end=\"759\">With the classic use of <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar &#8211; without <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect &#8211; <\/span><\/span>the data is transferred to the Polar Flow Cloud and processed there.<\/p><p data-start=\"761\" data-end=\"779\">Characteristic:<\/p><ul data-start=\"780\" data-end=\"971\"><li data-section-id=\"11x45ow\" data-start=\"780\" data-end=\"830\">Data processing via the POLAR consumer platform<\/li><li data-section-id=\"javooj\" data-start=\"831\" data-end=\"896\">Limited options for individual data control<\/li><li data-section-id=\"jef5zq\" data-start=\"897\" data-end=\"971\">No direct integration into professional IT and system landscapes<\/li><\/ul><p data-start=\"973\" data-end=\"1175\"><br>Limitation:<br data-start=\"990\" data-end=\"993\">For many clinical, scientific or safety-critical applications, this approach is only suitable to a limited extent due to regulatory and data protection requirements.<\/p><hr data-start=\"1177\" data-end=\"1180\"><h4 data-section-id=\"9mt45z\" data-start=\"1182\" data-end=\"1253\"><span role=\"text\"><br>2. <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud<br>(extended cloud integration)<\/span><\/h4><p data-start=\"1255\" data-end=\"1456\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud builds on the existing Polar Flow Cloud, but adds a controlled processing layer within the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE HUB.<\/p><p data-start=\"1458\" data-end=\"1470\">Advantages:<\/p><ul data-start=\"1471\" data-end=\"1669\"><li data-section-id=\"1gwnmox\" data-start=\"1471\" data-end=\"1549\">Conclusion of an order processing agreement (AVV) with Datico possible<\/li><li data-section-id=\"6zxm8i\" data-start=\"1550\" data-end=\"1624\">Structured further processing and integration into existing systems<\/li><li data-section-id=\"18dmsow\" data-start=\"1625\" data-end=\"1669\">Improved transparency of data flows<\/li><\/ul><p data-start=\"1671\" data-end=\"1867\"><br>Classification:<br data-start=\"1685\" data-end=\"1688\">This variant represents a <strong data-start=\"1716\" data-end=\"1771\">pragmatic, data protection-optimized approach<\/strong> and is particularly suitable for applications with medium data control requirements.<\/p><hr data-start=\"1869\" data-end=\"1872\"><h4 data-section-id=\"a31fob\" data-start=\"1874\" data-end=\"1959\"><span role=\"text\"><br>3. <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<br>(fully autonomous data processing)<\/span><\/h4><p data-start=\"1961\" data-end=\"2131\">The <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> enables direct data transmission via the <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Datico Live App<\/span><\/span> &#8211; <strong data-start=\"2093\" data-end=\"2130\">without using the Polar Flow Cloud<\/strong>.<\/p><p data-start=\"2133\" data-end=\"2145\">Advantages:<\/p><ul data-start=\"2146\" data-end=\"2322\"><li data-section-id=\"1ilnt08\" data-start=\"2146\" data-end=\"2200\">Complete control over the entire data path<\/li><li data-section-id=\"8f0rc8\" data-start=\"2201\" data-end=\"2249\">No forwarding via external platforms<\/li><li data-section-id=\"vx1w33\" data-start=\"2250\" data-end=\"2322\">Direct integration into the infrastructure of the respective organization<\/li><\/ul><p data-start=\"2324\" data-end=\"2350\"><br>Particularly suitable for:<\/p><ul data-start=\"2351\" data-end=\"2554\"><li data-section-id=\"56o36f\" data-start=\"2351\" data-end=\"2412\">Clinical studies with high regulatory requirements<\/li><li data-section-id=\"1mjykek\" data-start=\"2413\" data-end=\"2458\">Universities and research institutions<\/li><li data-section-id=\"1i8bebq\" data-start=\"2459\" data-end=\"2516\">Military, authorities and safety-critical environments<\/li><li data-section-id=\"1k35qkc\" data-start=\"2517\" data-end=\"2554\">Isolated system architectures<\/li><\/ul><p data-start=\"2556\" data-end=\"2709\"><br>Result:<br data-start=\"2568\" data-end=\"2571\">Maximum data sovereignty, maximum transparency and the ability to implement fully data protection-compliant and autonomous system landscapes.<\/p><hr data-start=\"2711\" data-end=\"2714\"><h4 data-section-id=\"vkyps5\" data-start=\"2716\" data-end=\"2728\"><span role=\"text\"><br>Conclusion<\/span><\/h4><ul data-start=\"2730\" data-end=\"3002\"><li data-section-id=\"7v2co2\" data-start=\"2730\" data-end=\"2811\"><strong data-start=\"2732\" data-end=\"2752\">Polar Flow Cloud<\/strong> \u2192 Standard solution for end users, limited control<\/li><li data-section-id=\"18wozg3\" data-start=\"2812\" data-end=\"2904\"><strong data-start=\"2814\" data-end=\"2847\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud<\/strong> \u2192 advanced analysis + improved data protection structure<\/li><li data-section-id=\"13xo0v3\" data-start=\"2905\" data-end=\"3002\"><strong data-start=\"2907\" data-end=\"2944\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> \u2192 maximum data sovereignty and complete system control<\/li><\/ul><p data-start=\"3004\" data-end=\"3149\"><br>For the first time, Datico enables a flexible choice of integration path &#8211; tailored to the respective data protection and system requirements.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2532\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2532\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Is live transmission and live recording of POLAR wearable data possible? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2532\" class=\"elementor-element elementor-element-57becc3 e-flex e-con-boxed e-con e-child\" data-id=\"57becc3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-31c28ad elementor-widget elementor-widget-text-editor\" data-id=\"31c28ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"295\" data-end=\"523\">Yes, <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> in conjunction with the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP Connect provides comprehensive options for <strong data-start=\"451\" data-end=\"489\">live transmission and recording<\/strong> of wearable data.<\/p><p data-start=\"525\" data-end=\"576\">Two basic operating modes are supported:<\/p><p data-start=\"578\" data-end=\"612\"><strong data-start=\"578\" data-end=\"610\">1. asynchronous data acquisition<\/strong><\/p><ul data-start=\"613\" data-end=\"812\"><li data-section-id=\"8sp2gd\" data-start=\"613\" data-end=\"678\">Retrieval of data after completed training sessions or measurements<\/li><li data-section-id=\"f1eli6\" data-start=\"679\" data-end=\"741\">Periodic synchronization at defined time intervals<\/li><li data-section-id=\"424v8r\" data-start=\"742\" data-end=\"812\">Suitable for standardized applications and scalable scenarios<\/li><\/ul><p data-start=\"814\" data-end=\"854\"><strong data-start=\"814\" data-end=\"852\"><br>2. live data acquisition in real time<\/strong><\/p><ul data-start=\"855\" data-end=\"1025\"><li data-section-id=\"tsemog\" data-start=\"855\" data-end=\"918\">Continuous display of sensor data during the measurement<\/li><li data-section-id=\"1u0v8j7\" data-start=\"919\" data-end=\"968\">Direct visualization in the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP<\/li><li data-section-id=\"14p1gjt\" data-start=\"969\" data-end=\"1025\">Immediate availability for monitoring and control<\/li><\/ul><p data-start=\"1027\" data-end=\"1219\"><br>A particular added value lies in the <strong data-start=\"1064\" data-end=\"1126\">time-synchronized merging of multiple data sources<\/strong>: Wearable data can be combined with other measurement systems in real time &#8211; for example with:<\/p><ul data-start=\"1221\" data-end=\"1311\"><li data-section-id=\"x3gqn7\" data-start=\"1221\" data-end=\"1247\">additional wearables<\/li><li data-section-id=\"1fxaprd\" data-start=\"1248\" data-end=\"1277\">Training and environmental data<\/li><\/ul><p data-start=\"1313\" data-end=\"1401\"><br>This creates a consistent live data context across different systems.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2533\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2533\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Is it possible to synchronize Polar wearables live with other wearables and systems? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2533\" class=\"elementor-element elementor-element-9703cea e-flex e-con-boxed e-con e-child\" data-id=\"9703cea\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-399a093 elementor-widget elementor-widget-text-editor\" data-id=\"399a093\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p data-start=\"300\" data-end=\"520\">Yes, via <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> in conjunction with the <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP, <strong data-start=\"416\" data-end=\"511\">time-synchronized live recording and combination of data from multiple wearables and systems<\/strong> is possible.<\/p><p data-start=\"522\" data-end=\"772\">Not only devices from <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Polar<\/span><\/span> devices can be integrated, but also wearables and sensor systems from other manufacturers. The data is recorded in real time, synchronized and displayed in a common context. <\/p><p data-start=\"774\" data-end=\"879\">A particular advantage is the ability to <strong data-start=\"824\" data-end=\"878\">record several data sources live in parallel<\/strong>:<\/p><ul data-start=\"881\" data-end=\"1138\"><li data-section-id=\"tp4zvm\" data-start=\"881\" data-end=\"974\">Simultaneous recording of several wearables per test subject or across several test subjects<\/li><li data-section-id=\"ai95ix\" data-start=\"975\" data-end=\"1068\">Combination of devices from different manufacturers in a standardized data structure<\/li><li data-section-id=\"1r3wc43\" data-start=\"1069\" data-end=\"1138\">Time-synchronized combination of all measured values in the live view<\/li><\/ul><p data-start=\"1140\" data-end=\"1256\"><br>This creates a consistent live data stream that enables a holistic analysis of complex scenarios.<\/p><hr data-start=\"1258\" data-end=\"1261\"><h4 data-section-id=\"13qhf57\" data-start=\"1263\" data-end=\"1292\"><span role=\"text\"><strong data-start=\"1266\" data-end=\"1292\"><br>Unique solution<\/strong><\/span><\/h4><p data-start=\"1294\" data-end=\"1486\">This form of <strong data-start=\"1309\" data-end=\"1390\">manufacturer-independent, synchronized multi-device recording in real time<\/strong> is rarely available in this form in the wearable environment and opens up new opportunities, especially for:<\/p><ul data-start=\"1488\" data-end=\"1580\"><li data-section-id=\"ldrbft\" data-start=\"1488\" data-end=\"1517\">scientific studies<\/li><li data-section-id=\"1lmgyzg\" data-start=\"1518\" data-end=\"1543\">Clinical applications<\/li><li data-section-id=\"16bbdyi\" data-start=\"1544\" data-end=\"1580\">Performance diagnostic scenarios<\/li><\/ul><p data-start=\"1582\" data-end=\"1641\"><br>completely new possibilities in data collection and analysis.<\/p><hr data-start=\"1643\" data-end=\"1646\"><p data-start=\"1648\" data-end=\"1789\" data-is-last-node=\"\" data-is-only-node=\"\"><br>Result:<br data-start=\"1660\" data-end=\"1663\">A highly integrated, flexible and scalable live data platform that goes far beyond traditional wearable solutions.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2534\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2534\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What advantages does the <sup>Datico\u00ae<\/sup> LIFE APP offer for wearable management? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2534\" class=\"elementor-element elementor-element-274f453 e-flex e-con-boxed e-con e-child\" data-id=\"274f453\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1914a8c elementor-widget elementor-widget-text-editor\" data-id=\"1914a8c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"295\" data-end=\"522\">The <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP plays a central role in the integration and control of wearables and adds significant functional and data protection-related benefits to traditional device management.<\/p><p data-start=\"524\" data-end=\"735\">A key added value lies in <strong data-start=\"560\" data-end=\"627\">direct data acquisition without dependence on manufacturer clouds<\/strong>: the app synchronizes the wearable data directly with the respective end device and enables both:<\/p><ul data-start=\"737\" data-end=\"942\"><li data-section-id=\"1x2mhe1\" data-start=\"737\" data-end=\"841\"><strong data-start=\"739\" data-end=\"774\">Live recordings in real time<\/strong>, for example as part of training, studies or measurement series<\/li><li data-section-id=\"10zhk2v\" data-start=\"842\" data-end=\"942\"><strong data-start=\"844\" data-end=\"873\">Asynchronous data acquisition<\/strong>, for example after completion of units or at defined intervals (e.g. daily at 8:00 a.m.)<\/li><\/ul><p data-start=\"944\" data-end=\"1155\"><br>This creates a flexible data acquisition model that can be optimally adapted to different application and study scenarios &#8211; with complete control over data transmission at the same time.<\/p><p data-start=\"1157\" data-end=\"1443\">Another decisive advantage is the <strong data-start=\"1201\" data-end=\"1269\">integration of individual questionnaires and feedback mechanisms<\/strong>: The <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP can be used to play out project-, study- or application-specific <strong data-start=\"1351\" data-end=\"1365\">smart forms<\/strong> that enable targeted collection of subjective data.<\/p><p data-start=\"1445\" data-end=\"1473\">This includes, for example<\/p><ul data-start=\"1474\" data-end=\"1638\"><li data-section-id=\"y7m39m\" data-start=\"1474\" data-end=\"1527\">Perception of stress and subjective assessments<\/li><li data-section-id=\"fzpxup\" data-start=\"1528\" data-end=\"1569\">Health and well-being data<\/li><li data-section-id=\"1flxg37\" data-start=\"1570\" data-end=\"1638\">Individual feedback in the context of training or therapy<\/li><\/ul><p data-start=\"1640\" data-end=\"1786\"><br>The combination of objective sensor data and subjective user input enables a significantly expanded and contextualized database.<\/p><hr data-start=\"1788\" data-end=\"1791\"><h4 data-section-id=\"vkyps5\" data-start=\"1793\" data-end=\"1805\"><span role=\"text\"><br>Conclusion<\/span><\/h4><p data-start=\"1807\" data-end=\"2082\">The <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE APP combines <strong data-start=\"1837\" data-end=\"1882\">direct, flexible wearable data acquisition<\/strong> with <strong data-start=\"1887\" data-end=\"1917\">interactive data collection<\/strong> and thus creates a central basis for structured, data protection-compliant and application-specific solutions in clinical, research and performance environments.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2535\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2535\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What added analytical value does the <sup style=\"font-size: 0.55em;line-height: 0;vertical-align: 0.6em\">Datico\u00ae<\/sup> LIFE HUB offer when using wearable data? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2535\" class=\"elementor-element elementor-element-cd47bf5 e-flex e-con-boxed e-con e-child\" data-id=\"cd47bf5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9b5f902 elementor-widget elementor-widget-text-editor\" data-id=\"9b5f902\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"341\" data-end=\"527\">The <sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> LIFE HUB extends the use of wearable data from isolated data collection to a <strong data-start=\"473\" data-end=\"526\">holistic, context-based analysis platform<\/strong>.<\/p><p data-start=\"529\" data-end=\"730\">In contrast to traditional manufacturer solutions, the data is not only displayed, but embedded in an overarching context and combined with other data sources, for example:<\/p><ul data-start=\"732\" data-end=\"865\"><li data-section-id=\"1izuvxh\" data-start=\"732\" data-end=\"755\">Clinical measured values<\/li><li data-section-id=\"xtp8fv\" data-start=\"756\" data-end=\"789\">Training and performance data<\/li><li data-section-id=\"1u8oo8m\" data-start=\"790\" data-end=\"812\">Environmental parameters<\/li><li data-section-id=\"1nyapxk\" data-start=\"813\" data-end=\"865\">Subjective user information (e.g. via Smartforms)<\/li><\/ul><p data-start=\"867\" data-end=\"957\"><br>Powerful analysis functions are available on this integrated database:<\/p><ul data-start=\"959\" data-end=\"1357\"><li data-section-id=\"1a881z5\" data-start=\"959\" data-end=\"1042\"><strong data-start=\"961\" data-end=\"977\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Index<\/strong> \u2192 Condensing complex measured values into comprehensible key figures<\/li><li data-section-id=\"1c15yx6\" data-start=\"1043\" data-end=\"1140\"><strong data-start=\"1045\" data-end=\"1063\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Reference Sets<\/strong> \u2192 Classification of data in defined comparison contexts (e.g. traffic light logic)<\/li><li data-section-id=\"dmzuzx\" data-start=\"1141\" data-end=\"1217\"><strong data-start=\"1143\" data-end=\"1158\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> IDOL<\/strong> \u2192 Comparison with individual target and reference profiles<\/li><li data-section-id=\"134wylc\" data-start=\"1218\" data-end=\"1292\"><strong data-start=\"1220\" data-end=\"1246\">Longitudinal analyses<\/strong> \u2192 Development of parameters over time<\/li><li data-section-id=\"1h8f5xu\" data-start=\"1293\" data-end=\"1357\"><strong data-start=\"1295\" data-end=\"1311\">Benchmarking<\/strong> \u2192 Comparison with reference or peer groups<\/li><\/ul><p data-start=\"1359\" data-end=\"1442\"><br>In addition, the platform enables flexible further processing of the data:<\/p><ul data-start=\"1444\" data-end=\"1687\"><li data-section-id=\"1ebp31k\" data-start=\"1444\" data-end=\"1504\">Integration in scientific tools (SPSS, MATLAB, R)<\/li><li data-section-id=\"g83178\" data-start=\"1505\" data-end=\"1617\">Connection to BI systems such as <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Microsoft Power BI<\/span><\/span> or <span class=\"hover:entity-accent entity-underline inline cursor-pointer align-baseline\"><span class=\"whitespace-normal\">Qlik Sense<\/span><\/span><\/li><li data-section-id=\"1skah7i\" data-start=\"1618\" data-end=\"1687\">Transfer to clinical systems (HIS, electronic patient files)<\/li><\/ul><p data-start=\"1689\" data-end=\"1835\"><br>Result:<br data-start=\"1701\" data-end=\"1704\">A significantly broader analysis horizon that enables well-founded decisions in clinical practice, research and performance optimization.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2536\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2536\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> For which projects are the various integration paths suitable? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2536\" class=\"elementor-element elementor-element-b31d3a4 e-flex e-con-boxed e-con e-child\" data-id=\"b31d3a4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-883b1ad elementor-widget elementor-widget-text-editor\" data-id=\"883b1ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"1926\" data-end=\"2120\">The choice between <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud<\/strong> and <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> depends on the respective requirements for data protection, scalability and system integration.<\/p><hr data-start=\"2122\" data-end=\"2125\"><h4 data-section-id=\"1gakkf5\" data-start=\"2127\" data-end=\"2180\"><span role=\"text\"><br><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud &#8211; suitable for:<\/span><\/h4><ul data-start=\"2182\" data-end=\"2593\"><li data-section-id=\"1hzy7br\" data-start=\"2182\" data-end=\"2286\"><strong data-start=\"2184\" data-end=\"2217\">BGM and business solutions<\/strong><br data-start=\"2217\" data-end=\"2220\">\u2192 Scalable collection and analysis of data from many users<br><br><\/li><li data-section-id=\"szbbwj\" data-start=\"2288\" data-end=\"2443\"><strong data-start=\"2290\" data-end=\"2354\">Clinical applications with moderate data protection requirements<\/strong><br data-start=\"2354\" data-end=\"2357\">\u2192 Integration into existing processes with extended analysis capability at the same time<br><br><\/li><li data-section-id=\"141l58v\" data-start=\"2445\" data-end=\"2593\"><strong data-start=\"2447\" data-end=\"2506\">Scientific studies with existing infrastructure<\/strong><br data-start=\"2506\" data-end=\"2509\">\u2192 Use of existing Polar systems with simultaneous centralized data evaluation<\/li><\/ul><p data-start=\"2595\" data-end=\"2713\"><strong data-start=\"2598\" data-end=\"2617\"><br>Characteristics:<\/strong><br data-start=\"2617\" data-end=\"2620\">Pragmatic approach with a focus on scaling, central analysis and rapid implementation.<\/p><hr data-start=\"2715\" data-end=\"2718\"><h4 data-section-id=\"ef3mfa\" data-start=\"2720\" data-end=\"2777\"><span role=\"text\"><br><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth &#8211; suitable for:<\/span><\/h4><ul data-start=\"2779\" data-end=\"3272\"><li data-section-id=\"105twdc\" data-start=\"2779\" data-end=\"2916\"><strong data-start=\"2781\" data-end=\"2842\">Clinical studies with high regulatory requirements<\/strong><br data-start=\"2842\" data-end=\"2845\">\u2192 Fully controlled data processing without third-party platforms<br><br><\/li><li data-section-id=\"ddckqi\" data-start=\"2918\" data-end=\"3025\"><strong data-start=\"2920\" data-end=\"2965\">Universities and research institutions<\/strong><br data-start=\"2965\" data-end=\"2968\">\u2192 Maximum flexibility in data collection and analysis<br><br><\/li><li data-section-id=\"4n5hp0\" data-start=\"3027\" data-end=\"3148\"><strong data-start=\"3029\" data-end=\"3086\">Military, authorities and security-critical environments<\/strong><br data-start=\"3086\" data-end=\"3089\">\u2192 Creation of isolated, sealed-off system architectures<br><br><\/li><li data-section-id=\"1t3j7s2\" data-start=\"3150\" data-end=\"3272\"><strong data-start=\"3152\" data-end=\"3212\">Individual software solutions and complex integrations<\/strong><br data-start=\"3212\" data-end=\"3215\">\u2192 Direct integration into customer-specific platforms<\/li><\/ul><p data-start=\"3274\" data-end=\"3390\"><strong data-start=\"3277\" data-end=\"3296\"><br>Characteristics:<\/strong><br data-start=\"3296\" data-end=\"3299\">Maximum data sovereignty, real-time integration and complete control over all data flows.<\/p><hr data-start=\"3392\" data-end=\"3395\"><h4 data-section-id=\"vkyps5\" data-start=\"3397\" data-end=\"3409\"><span role=\"text\"><br>Conclusion<\/span><\/h4><ul data-start=\"3411\" data-end=\"3557\"><li data-section-id=\"n7xqcx\" data-start=\"3411\" data-end=\"3478\"><strong data-start=\"3413\" data-end=\"3422\">Cloud<\/strong> \u2192 efficient, scalable, ideal for a wide range of applications<\/li><li data-section-id=\"2cwsmd\" data-start=\"3479\" data-end=\"3557\"><strong data-start=\"3481\" data-end=\"3494\">Bluetooth<\/strong> \u2192 highly secure, flexible, ideal for demanding scenarios<\/li><\/ul><p data-start=\"3559\" data-end=\"3696\"><br>By combining both approaches, Datico enables customized implementation for a wide range of requirements and target groups.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-2537\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"8\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-2537\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> When should which integration approach be chosen? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><i aria-hidden=\"true\" class=\"far fa-caret-square-up\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"far fa-caret-square-down\"><\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-2537\" class=\"elementor-element elementor-element-56bc88f e-flex e-con-boxed e-con e-child\" data-id=\"56bc88f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ca1b7fe elementor-widget elementor-widget-text-editor\" data-id=\"ca1b7fe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"flex flex-col text-sm pb-25\"><article class=\"text-token-text-primary w-full focus:outline-none [--shadow-height:45px] has-data-writing-block:pointer-events-none has-data-writing-block:-mt-(--shadow-height) has-data-writing-block:pt-(--shadow-height) [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" tabindex=\"-1\" data-turn-id=\"request-69b12251-eea8-8394-ab81-11cbc0be7473-3\" data-testid=\"conversation-turn-20\" data-scroll-anchor=\"true\" data-turn=\"assistant\"><div class=\"text-base my-auto mx-auto pb-10 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\"><div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" tabindex=\"-1\"><div class=\"flex max-w-full flex-col gap-4 grow\"><div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"9fec7725-bae5-415a-864b-e5ff9c353a97\" data-message-model-slug=\"gpt-5-3\"><div class=\"flex w-full flex-col gap-1 empty:hidden\"><div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\"><p data-start=\"234\" data-end=\"438\">The choice between <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud<\/strong> and <strong><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> should be consistently based on the requirements for data protection, system architecture and analysis processes.<\/p><p data-start=\"440\" data-end=\"504\"><strong data-start=\"440\" data-end=\"473\"><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Cloud<\/strong> is the right solution when:<\/p><ul data-start=\"505\" data-end=\"786\"><li data-section-id=\"mijx3w\" data-start=\"505\" data-end=\"575\">the focus is on fast and scalable implementation<\/li><li data-section-id=\"s95lb4\" data-start=\"576\" data-end=\"641\">existing Polar infrastructures should continue to be used<\/li><li data-section-id=\"7ow14y\" data-start=\"642\" data-end=\"712\">a central evaluation across many users is required<\/li><li data-section-id=\"trxeub\" data-start=\"713\" data-end=\"786\">the data protection requirements are high, but not maximally restrictive<\/li><\/ul><p data-start=\"788\" data-end=\"880\"><br>Typical use: BGM solutions, larger studies, standardized clinical applications<\/p><hr data-start=\"882\" data-end=\"885\"><p data-start=\"887\" data-end=\"953\"><strong data-start=\"887\" data-end=\"924\"><br><sup style=\"font-size: 0.55em; line-height: 0; vertical-align: 0.6em;\">Datico\u00ae<\/sup> Wearable Connect Bluetooth<\/strong> should be selected when:<\/p><ul data-start=\"954\" data-end=\"1263\"><li data-section-id=\"zl43e\" data-start=\"954\" data-end=\"1045\">maximum data sovereignty and complete control over all data flows are required<\/li><li data-section-id=\"pmmkly\" data-start=\"1046\" data-end=\"1110\">there must be no dependence on external cloud systems<\/li><li data-section-id=\"wi5gso\" data-start=\"1111\" data-end=\"1191\">regulatory or safety-critical requirements must be met<\/li><li data-section-id=\"2zmjvl\" data-start=\"1192\" data-end=\"1263\">Real-time integration and flexible system architectures are necessary<\/li><\/ul><p data-start=\"1265\" data-end=\"1382\"><br>Typical use: clinical studies with high requirements, research, authorities, individual software solutions<\/p><hr data-start=\"1384\" data-end=\"1387\"><p data-start=\"1389\" data-end=\"1638\"><strong data-start=\"1389\" data-end=\"1406\"><br>Practical approach:<\/strong><br data-start=\"1406\" data-end=\"1409\">Many projects start with the cloud version for rapid scaling. As data protection and integration requirements increase, the Bluetooth version is then often expanded or switched to. <\/p><p data-start=\"1640\" data-end=\"1763\">Result:<br data-start=\"1652\" data-end=\"1655\">A flexible, future-proof integration strategy that is geared towards the requirements of the project.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/article><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Which Polar devices are compatible with Datico\\u00ae?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Compatibility depends on the chosen integration path and differs between Datico\\u00ae  Wearable Connect Cloud and Datico\\u00ae  Wearable Connect Bluetooth.Datico\\u00ae  Wearable Connect Cloud:In principle, all devices from Polar Electro Oy that transfer their data to the Polar Flow Cloud are compatible.These include in particularPolar sports watchesHeart rate sensorsOther wearables with a connection to the Polar Flow platformThe prerequisite is that the respective devices provide their data via the Polar Flow Cloud.Datico\\u00ae Wearable Connect Bluetooth:With direct integration via the Datico\\u00ae  LIFE APP compatibility is based on the Polar SDK.Support is provided in particular forPolar H10 and Polar H9Bluetooth-enabled wearables with direct access to sensor dataSelected Polar sports watches with open data communicationThe decisive factor is whether the respective device can be addressed via the Polar SDK and enables direct access to the relevant measurement data.\"}},{\"@type\":\"Question\",\"name\":\"How do the integration paths differ in terms of data protection and data control?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The choice of integration method has a direct influence on data protection, data sovereignty and system architecture. There are basically three different approaches: 1. use of the Polar Flow Cloud (standard approach)With the classic use of Polar &#8211; without Datico\\u00ae Wearable Connect &#8211; the data is transferred to the Polar Flow Cloud and processed there.Characteristic:Data processing via the POLAR consumer platformLimited options for individual data controlNo direct integration into professional IT and system landscapesLimitation:For many clinical, scientific or safety-critical applications, this approach is only suitable to a limited extent due to regulatory and data protection requirements.2. Datico\\u00ae Wearable Connect Cloud(extended cloud integration)Datico\\u00ae Wearable Connect Cloud builds on the existing Polar Flow Cloud, but adds a controlled processing layer within the Datico\\u00ae LIFE HUB.Advantages:Conclusion of an order processing agreement (AVV) with Datico possibleStructured further processing and integration into existing systemsImproved transparency of data flowsClassification:This variant represents a pragmatic, data protection-optimized approach and is particularly suitable for applications with medium data control requirements.3. Datico\\u00ae Wearable Connect Bluetooth(fully autonomous data processing)The Datico\\u00ae Wearable Connect Bluetooth enables direct data transmission via the Datico Live App &#8211; without using the Polar Flow Cloud.Advantages:Complete control over the entire data pathNo forwarding via external platformsDirect integration into the infrastructure of the respective organizationParticularly suitable for:Clinical studies with high regulatory requirementsUniversities and research institutionsMilitary, authorities and safety-critical environmentsIsolated system architecturesResult:Maximum data sovereignty, maximum transparency and the ability to implement fully data protection-compliant and autonomous system landscapes.ConclusionPolar Flow Cloud \\u2192 Standard solution for end users, limited controlDatico\\u00ae Wearable Connect Cloud \\u2192 advanced analysis + improved data protection structureDatico\\u00ae Wearable Connect Bluetooth \\u2192 maximum data sovereignty and complete system controlFor the first time, Datico enables a flexible choice of integration path &#8211; tailored to the respective data protection and system requirements.\"}},{\"@type\":\"Question\",\"name\":\"Is live transmission and live recording of POLAR wearable data possible?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, Datico\\u00ae Wearable Connect Bluetooth in conjunction with the Datico\\u00ae LIFE APP Connect provides comprehensive options for live transmission and recording of wearable data.Two basic operating modes are supported:1. asynchronous data acquisitionRetrieval of data after completed training sessions or measurementsPeriodic synchronization at defined time intervalsSuitable for standardized applications and scalable scenarios2. live data acquisition in real timeContinuous display of sensor data during the measurementDirect visualization in the Datico\\u00ae LIFE APPImmediate availability for monitoring and controlA particular added value lies in the time-synchronized merging of multiple data sources: Wearable data can be combined with other measurement systems in real time &#8211; for example with:additional wearablesTraining and environmental dataThis creates a consistent live data context across different systems.\"}},{\"@type\":\"Question\",\"name\":\"Is it possible to synchronize Polar wearables live with other wearables and systems?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, via Datico\\u00ae Wearable Connect Bluetooth in conjunction with the Datico\\u00ae LIFE APP, time-synchronized live recording and combination of data from multiple wearables and systems is possible.Not only devices from Polar devices can be integrated, but also wearables and sensor systems from other manufacturers. The data is recorded in real time, synchronized and displayed in a common context. A particular advantage is the ability to record several data sources live in parallel:Simultaneous recording of several wearables per test subject or across several test subjectsCombination of devices from different manufacturers in a standardized data structureTime-synchronized combination of all measured values in the live viewThis creates a consistent live data stream that enables a holistic analysis of complex scenarios.Unique solutionThis form of manufacturer-independent, synchronized multi-device recording in real time is rarely available in this form in the wearable environment and opens up new opportunities, especially for:scientific studiesClinical applicationsPerformance diagnostic scenarioscompletely new possibilities in data collection and analysis.Result:A highly integrated, flexible and scalable live data platform that goes far beyond traditional wearable solutions.\"}},{\"@type\":\"Question\",\"name\":\"What advantages does the Datico\\u00ae LIFE APP offer for wearable management?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The Datico\\u00ae LIFE APP plays a central role in the integration and control of wearables and adds significant functional and data protection-related benefits to traditional device management.A key added value lies in direct data acquisition without dependence on manufacturer clouds: the app synchronizes the wearable data directly with the respective end device and enables both:Live recordings in real time, for example as part of training, studies or measurement seriesAsynchronous data acquisition, for example after completion of units or at defined intervals (e.g. daily at 8:00 a.m.)This creates a flexible data acquisition model that can be optimally adapted to different application and study scenarios &#8211; with complete control over data transmission at the same time.Another decisive advantage is the integration of individual questionnaires and feedback mechanisms: The Datico\\u00ae LIFE APP can be used to play out project-, study- or application-specific smart forms that enable targeted collection of subjective data.This includes, for examplePerception of stress and subjective assessmentsHealth and well-being dataIndividual feedback in the context of training or therapyThe combination of objective sensor data and subjective user input enables a significantly expanded and contextualized database.ConclusionThe Datico\\u00ae LIFE APP combines direct, flexible wearable data acquisition with interactive data collection and thus creates a central basis for structured, data protection-compliant and application-specific solutions in clinical, research and performance environments.\"}},{\"@type\":\"Question\",\"name\":\"What added analytical value does the Datico\\u00ae LIFE HUB offer when using wearable data?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The Datico\\u00ae LIFE HUB extends the use of wearable data from isolated data collection to a holistic, context-based analysis platform.In contrast to traditional manufacturer solutions, the data is not only displayed, but embedded in an overarching context and combined with other data sources, for example:Clinical measured valuesTraining and performance dataEnvironmental parametersSubjective user information (e.g. via Smartforms)Powerful analysis functions are available on this integrated database:Datico\\u00ae Index \\u2192 Condensing complex measured values into comprehensible key figuresDatico\\u00ae Reference Sets \\u2192 Classification of data in defined comparison contexts (e.g. traffic light logic)Datico\\u00ae IDOL \\u2192 Comparison with individual target and reference profilesLongitudinal analyses \\u2192 Development of parameters over timeBenchmarking \\u2192 Comparison with reference or peer groupsIn addition, the platform enables flexible further processing of the data:Integration in scientific tools (SPSS, MATLAB, R)Connection to BI systems such as Microsoft Power BI or Qlik SenseTransfer to clinical systems (HIS, electronic patient files)Result:A significantly broader analysis horizon that enables well-founded decisions in clinical practice, research and performance optimization.\"}},{\"@type\":\"Question\",\"name\":\"For which projects are the various integration paths suitable?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The choice between Datico\\u00ae Wearable Connect Cloud and Datico\\u00ae Wearable Connect Bluetooth depends on the respective requirements for data protection, scalability and system integration.Datico\\u00ae Wearable Connect Cloud &#8211; suitable for:BGM and business solutions\\u2192 Scalable collection and analysis of data from many usersClinical applications with moderate data protection requirements\\u2192 Integration into existing processes with extended analysis capability at the same timeScientific studies with existing infrastructure\\u2192 Use of existing Polar systems with simultaneous centralized data evaluationCharacteristics:Pragmatic approach with a focus on scaling, central analysis and rapid implementation.Datico\\u00ae Wearable Connect Bluetooth &#8211; suitable for:Clinical studies with high regulatory requirements\\u2192 Fully controlled data processing without third-party platformsUniversities and research institutions\\u2192 Maximum flexibility in data collection and analysisMilitary, authorities and security-critical environments\\u2192 Creation of isolated, sealed-off system architecturesIndividual software solutions and complex integrations\\u2192 Direct integration into customer-specific platformsCharacteristics:Maximum data sovereignty, real-time integration and complete control over all data flows.ConclusionCloud \\u2192 efficient, scalable, ideal for a wide range of applicationsBluetooth \\u2192 highly secure, flexible, ideal for demanding scenariosBy combining both approaches, Datico enables customized implementation for a wide range of requirements and target groups.\"}},{\"@type\":\"Question\",\"name\":\"When should which integration approach be chosen?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The choice between Datico\\u00ae Wearable Connect Cloud and Datico\\u00ae Wearable Connect Bluetooth should be consistently based on the requirements for data protection, system architecture and analysis processes.Datico\\u00ae Wearable Connect Cloud is the right solution when:the focus is on fast and scalable implementationexisting Polar infrastructures should continue to be useda central evaluation across many users is requiredthe data protection requirements are high, but not maximally restrictiveTypical use: BGM solutions, larger studies, standardized clinical applicationsDatico\\u00ae Wearable Connect Bluetooth should be selected when:maximum data sovereignty and complete control over all data flows are requiredthere must be no dependence on external cloud systemsregulatory or safety-critical requirements must be metReal-time integration and flexible system architectures are necessaryTypical use: clinical studies with high requirements, research, authorities, individual software solutionsPractical approach:Many projects start with the cloud version for rapid scaling. As data protection and integration requirements increase, the Bluetooth version is then often expanded or switched to. Result:A flexible, future-proof integration strategy that is geared towards the requirements of the project.\"}}]}<\/script>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6208bdf e-flex e-con-boxed e-con e-parent\" data-id=\"6208bdf\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>DATA PROTECTION COMPLIANT WEARABLE INTEGRATION<br \/>\nThe integration of Polar Electro wearables into the Datico Wearable Connect solutions creates new possibilities for the data protection compliant use of wearable data while at the same time offering significantly expanded analysis options.<\/p>\n","protected":false},"author":1,"featured_media":6485,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_angie_page":false,"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","page_builder":"","footnotes":""},"categories":[85,38],"tags":[],"class_list":["post-2667","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-datico-system-partner","category-system-partner-news"],"_links":{"self":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/2667","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/comments?post=2667"}],"version-history":[{"count":7,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/2667\/revisions"}],"predecessor-version":[{"id":8447,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/2667\/revisions\/8447"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media\/6485"}],"wp:attachment":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media?parent=2667"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/categories?post=2667"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/tags?post=2667"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}