{"id":5389,"date":"2026-03-23T15:35:52","date_gmt":"2026-03-23T15:35:52","guid":{"rendered":"https:\/\/datico.com\/?p=5389"},"modified":"2026-04-28T16:54:21","modified_gmt":"2026-04-28T16:54:21","slug":"ergoline","status":"publish","type":"post","link":"https:\/\/datico.com\/en\/system-partner-news\/ergoline\/","title":{"rendered":"ergoline"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5389\" class=\"elementor elementor-5389 elementor-5388\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6130b57 e-flex e-con-boxed e-con e-parent\" data-id=\"6130b57\" 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-c51ccbb elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c51ccbb\" 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-866271c elementor-widget elementor-widget-text-editor\" data-id=\"866271c\" 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>Connection to <sup>Datico\u00ae<\/sup> Live Control and the <sup>Datico\u00ae<\/sup> 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-49a85ef elementor-widget elementor-widget-heading\" data-id=\"49a85ef\" 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\">ergoline<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5f4440 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c5f4440\" 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-8163820 elementor-widget elementor-widget-text-editor\" data-id=\"8163820\" 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=\"7ek649\" data-start=\"178\" data-end=\"246\">Ergoline &amp; <sup>Datico\u00ae<\/sup><br>Real-time diagnostics in a networked data context<\/h4>\n<p data-start=\"248\" data-end=\"590\">With the integration of Ergoline, Datico\u00ae is expanding its real-time data acquisition capabilities to include a key component of medical performance diagnostics. For the first time, the proprietary Ergoline protocol is being used directly in <sup>Datico\u00ae<\/sup> Live Control to integrate ergometer data directly into a continuous data flow. <\/p>\n<p data-start=\"592\" data-end=\"790\">What was previously often separate &#8211; device control, data collection and subsequent evaluation &#8211; is now brought together in one system that not only collects data but also contextualizes it in real time.<\/p>\n<hr data-start=\"792\" data-end=\"795\">\n<h4 data-section-id=\"va733u\" data-start=\"797\" data-end=\"857\">Diagnostics becomes part of a synchronized overall system<\/h4>\n<p data-start=\"859\" data-end=\"1094\">ergoline has stood for established systems in cardiological diagnostics and rehabilitation for many years. Cycle ergometers are an integral part of standardized stress tests in clinical and scientific environments. <\/p>\n<p data-start=\"1096\" data-end=\"1355\">However, integration into <sup>Datico\u00ae<\/sup> changes the role of these systems. Diagnostics no longer takes place in isolation, but becomes part of a synchronized overall system in which different data sources are brought together at a precise time. <\/p>\n<p data-start=\"1357\" data-end=\"1689\">In actual use &#8211; including in the context of a project with the Max Planck Society at the G\u00f6ttingen site &#8211; ergometer data was recorded in parallel with wearables and environmental data. Heart rate, oxygen saturation and exercise parameters are not recorded alongside each other, but in a common temporal context. <\/p>\n<p data-start=\"1691\" data-end=\"1809\">This creates a data image that depicts the actual load situation more precisely than each individual measurement on its own.<\/p>\n<hr data-start=\"1811\" data-end=\"1814\">\n<h4 data-section-id=\"mr9216\" data-start=\"1816\" data-end=\"1866\">Direct integration via the Ergoline protocol<\/h4>\n<p data-start=\"1868\" data-end=\"2128\">The technical basis for this integration is direct access to the ergoline protocol. <sup>Datico\u00ae<\/sup> Live Control communicates directly with the devices, enabling continuous recording of performance data during the ongoing examination. <\/p>\n<p data-start=\"2130\" data-end=\"2377\">The decisive factor here is that no intermediate steps are necessary. Data is not exported, transformed or subsequently synchronized, but is created from the outset within a system that is designed for real-time processing. <\/p>\n<p data-start=\"2379\" data-end=\"2714\">This architecture creates the prerequisite for different data streams not only to be collected, but also to be precisely synchronized. Especially in complex settings in which several sensors and systems are used in parallel, this temporal synchronization becomes the decisive basis for valid analyses. <\/p>\n<hr data-start=\"2716\" data-end=\"2719\">\n<h4 data-section-id=\"rd2zq0\" data-start=\"2721\" data-end=\"2766\">From measuring device to integrated data source<\/h4>\n<p data-start=\"2768\" data-end=\"3027\">The connection to <sup>Datico\u00ae<\/sup> also changes the role of the ergometer itself. It is no longer a stand-alone diagnostic device with downstream data utilization, but part of a networked system in which data is processed directly. <\/p>\n<p data-start=\"3029\" data-end=\"3354\">In combination with other sources such as wearables or environmental simulations &#8211; for example in altitude chambers &#8211; an integrated workflow is created that is consistent from recording to analysis. The data flows directly into <sup>Datico\u00ae<\/sup> LiveControl and is available in the <sup>Datico\u00ae<\/sup> LIFE HUB in a structured form for evaluation and comparison. <\/p>\n<p data-start=\"3356\" data-end=\"3566\">This opens up new possibilities for combining medical diagnostics, training and research. Stress can not only be measured, but also interpreted in context and tracked over the long term. <\/p>\n<hr data-start=\"3568\" data-end=\"3571\">\n<h4 data-section-id=\"1wfhfg0\" data-start=\"3573\" data-end=\"3630\">A step towards a real-time performance platform<\/h4>\n<p data-start=\"3632\" data-end=\"3855\">The integration of ergoline is an example of how <sup>Datico\u00ae<\/sup> is evolving. The focus is shifting from the pure aggregation of data to real-time processing and synchronization across system boundaries. <\/p>\n<p data-start=\"3857\" data-end=\"4114\">Devices, sensors and applications are no longer just connected, but become part of a common data logic. This creates an infrastructure in which information is immediately available and can flow directly into analysis and decision-making processes. <\/p>\n<p data-start=\"4116\" data-end=\"4254\">Especially in medical, scientific and performance-oriented environments, this ability is increasingly becoming a decisive factor.<\/p>\n<hr data-start=\"4256\" data-end=\"4259\">\n<h4 data-section-id=\"x8o1ad\" data-start=\"4261\" data-end=\"4269\">Conclusion<\/h4>\n<p data-start=\"4271\" data-end=\"4421\">The direct integration of the Ergoline protocol into <sup>Datico\u00ae<\/sup> LiveControl creates a new quality of data acquisition in performance diagnostics.<\/p>\n<p data-start=\"4423\" data-end=\"4763\">Ergometer data is not viewed in isolation, but synchronized in real time with other data sources and embedded in a higher-level context. The combination of direct device connection, time synchronization and central data processing creates the basis for more precise analyses and better-informed decisions. <\/p>\n<p data-start=\"4765\" data-end=\"4915\">This represents a further step towards a fully networked health and performance infrastructure that can be controlled in real time.<\/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-9c04ee3 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"9c04ee3\" 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-015f0c4 e-flex e-con-boxed e-con e-parent\" data-id=\"015f0c4\" 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-d693f96 elementor-widget elementor-widget-heading\" data-id=\"d693f96\" 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\">Questions about connecting ergoline<\/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-1b0c3aa e-flex e-con-boxed e-con e-parent\" data-id=\"1b0c3aa\" 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-843a804 elementor-widget elementor-widget-n-accordion\" data-id=\"843a804\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;all_collapsed&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-1380\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1380\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Can I really record all relevant data from an ergoline ergometer in real time with Datico\u00ae? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1380\" class=\"elementor-element elementor-element-6e9eb60 e-con-full e-flex e-con e-child\" data-id=\"6e9eb60\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e16b260 elementor-widget elementor-widget-text-editor\" data-id=\"e16b260\" 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=\"2990\" data-end=\"3197\">Yes, thanks to the direct connection via the ergoline protocol, all data provided by the ergometer can be recorded in <sup>Datico\u00ae<\/sup> Live Control. This includes classic performance parameters such as watt values and cadence as well as device-side measurement data, for example heart rate values or other integrated sensor signals. The data is available in real time during exercise and is processed directly in the system.   <\/p>\t\t\t\t\t\t\t\t<\/div>\n\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-1381\" 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-1381\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Can ergometer data be combined with other sensors? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1381\" class=\"elementor-element elementor-element-195321b e-con-full e-flex e-con e-child\" data-id=\"195321b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ce4c697 elementor-widget elementor-widget-text-editor\" data-id=\"ce4c697\" 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=\"3555\" data-end=\"3800\">This is precisely one of the key added values of the integration. In <sup>Datico\u00ae<\/sup> Live Control, other sensors can be integrated in addition to the ergometer, such as heart rate monitors or SpO\u2082 sensors via Bluetooth or ANT+. This data is not only recorded in parallel, but also synchronized precisely with the ergometer data. This creates a consistent data set in which stress and physiological reaction can be directly related to each other.   <\/p>\t\t\t\t\t\t\t\t<\/div>\n\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-1382\" 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-1382\" >\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 integrate environmental data, e.g. from an altitude chamber? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1382\" class=\"elementor-element elementor-element-9bd4dff e-con-full e-flex e-con e-child\" data-id=\"9bd4dff\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a27cd2c elementor-widget elementor-widget-text-editor\" data-id=\"a27cd2c\" 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=\"1432\" data-end=\"1925\">Yes, the integration is designed in such a way that environmental parameters can also be incorporated alongside device data and wearables. In specific applications, for example, data from altitude chambers &#8211; such as simulated altitude or oxygen availability &#8211; is merged with the ergometer and vital signs data. This creates a complete picture of the stress situation under realistic environmental conditions.   <\/p>\t\t\t\t\t\t\t\t<\/div>\n\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-1383\" 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-1383\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How does this solution differ from classic ergometer evaluations? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1383\" class=\"elementor-element elementor-element-f88a49e e-con-full e-flex e-con e-child\" data-id=\"f88a49e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2c7c2e3 elementor-widget elementor-widget-text-editor\" data-id=\"2c7c2e3\" 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\">\n<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\">\n<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)\">\n<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\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<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\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"1932\" data-end=\"2402\">In traditional setups, ergometer data is often recorded in isolation and only merged with other data afterwards. With <sup>Datico\u00ae<\/sup> Live Control, however, the data set is synchronized and contextualized right from the start. This means that all data sources &#8211; ergometer, wearables and environment &#8211; have a common time reference and can be analyzed directly together.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\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-1384\" 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-1384\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Do I have to switch between different systems or transfer data manually? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1384\" class=\"elementor-element elementor-element-cf7eb0b e-flex e-con-boxed e-con e-child\" data-id=\"cf7eb0b\" 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-e87fd27 elementor-widget elementor-widget-text-editor\" data-id=\"e87fd27\" 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. All data capture is centralized in <sup>Datico\u00ae<\/sup> Live Control. No exports, no intermediate steps and no manual merging of data are necessary. All information is automatically saved in the correct context and is available in the <sup>Datico\u00ae<\/sup> LIFE HUB for further analysis.   <\/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-1385\" 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-1385\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> For which specific applications is this integration particularly useful? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1385\" class=\"elementor-element elementor-element-14807be e-flex e-con-boxed e-con e-child\" data-id=\"14807be\" 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-ccbde4b elementor-widget elementor-widget-text-editor\" data-id=\"ccbde4b\" 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\">\n<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\">\n<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)\">\n<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\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<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\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"5072\" data-end=\"5238\">Integration is particularly relevant wherever stress is analyzed under controlled conditions. This includes cardiological stress tests, rehabilitation measures, performance diagnostic set-ups in sport and scientific studies. Synchronous data acquisition shows its strengths particularly in complex test setups with several sensors and defined environmental conditions.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/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-1386\" 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-1386\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What was actually implemented in the project with the Max Planck Institute? <\/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=\"fas fa-minus\"><\/i><\/span>\n\t\t\t<span class='e-closed'><i aria-hidden=\"true\" class=\"fas fa-plus\"><\/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-1386\" class=\"elementor-element elementor-element-b394955 e-flex e-con-boxed e-con e-child\" data-id=\"b394955\" 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-6d9a36f elementor-widget elementor-widget-text-editor\" data-id=\"6d9a36f\" 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\">\n<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\">\n<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)\">\n<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\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<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\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert w-full wrap-break-word light markdown-new-styling\">\n<p data-start=\"5072\" data-end=\"5238\">Integration is particularly relevant wherever stress is analyzed under controlled conditions. This includes cardiological stress tests, rehabilitation measures, performance diagnostic set-ups in sport and scientific studies. Synchronous data acquisition shows its strengths particularly in complex test setups with several sensors and defined environmental conditions.  <\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/article>\n<\/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\":\"Can I really record all relevant data from an ergoline ergometer in real time with Datico\\u00ae?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, thanks to the direct connection via the ergoline protocol, all data provided by the ergometer can be recorded in Datico\\u00ae Live Control. This includes classic performance parameters such as watt values and cadence as well as device-side measurement data, for example heart rate values or other integrated sensor signals. The data is available in real time during exercise and is processed directly in the system.\"}},{\"@type\":\"Question\",\"name\":\"Can ergometer data be combined with other sensors?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"This is precisely one of the key added values of the integration. In Datico\\u00ae Live Control, other sensors can be integrated in addition to the ergometer, such as heart rate monitors or SpO\\u2082 sensors via Bluetooth or ANT+. This data is not only recorded in parallel, but also synchronized precisely with the ergometer data. This creates a consistent data set in which stress and physiological reaction can be directly related to each other.\"}},{\"@type\":\"Question\",\"name\":\"Is it possible to integrate environmental data, e.g. from an altitude chamber?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Yes, the integration is designed in such a way that environmental parameters can also be incorporated alongside device data and wearables. In specific applications, for example, data from altitude chambers &#8211; such as simulated altitude or oxygen availability &#8211; is merged with the ergometer and vital signs data. This creates a complete picture of the stress situation under realistic environmental conditions.\"}},{\"@type\":\"Question\",\"name\":\"How does this solution differ from classic ergometer evaluations?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"In traditional setups, ergometer data is often recorded in isolation and only merged with other data afterwards. With Datico\\u00ae Live Control, however, the data set is synchronized and contextualized right from the start. This means that all data sources &#8211; ergometer, wearables and environment &#8211; have a common time reference and can be analyzed directly together.\"}},{\"@type\":\"Question\",\"name\":\"Do I have to switch between different systems or transfer data manually?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. All data capture is centralized in Datico\\u00ae Live Control. No exports, no intermediate steps and no manual merging of data are necessary. All information is automatically saved in the correct context and is available in the Datico\\u00ae LIFE HUB for further analysis.\"}},{\"@type\":\"Question\",\"name\":\"For which specific applications is this integration particularly useful?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Integration is particularly relevant wherever stress is analyzed under controlled conditions. This includes cardiological stress tests, rehabilitation measures, performance diagnostic set-ups in sport and scientific studies. Synchronous data acquisition shows its strengths particularly in complex test setups with several sensors and defined environmental conditions.\"}},{\"@type\":\"Question\",\"name\":\"What was actually implemented in the project with the Max Planck Institute?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Integration is particularly relevant wherever stress is analyzed under controlled conditions. This includes cardiological stress tests, rehabilitation measures, performance diagnostic set-ups in sport and scientific studies. Synchronous data acquisition shows its strengths particularly in complex test setups with several sensors and defined environmental conditions.\"}}]}<\/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\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Connection to Datico\u00ae Live Control and the Datico\u00ae LIFE HUB ergoline Ergoline &amp; Datico\u00aeReal-time diagnostics in a networked data context With the integration of Ergoline, Datico\u00ae is expanding its real-time data acquisition capabilities to include a key component of medical performance diagnostics. For the first time, the proprietary Ergoline protocol is being used directly in&hellip;&nbsp;<a href=\"https:\/\/datico.com\/en\/system-partner-news\/ergoline\/\" rel=\"bookmark\">Read More &raquo;<span class=\"screen-reader-text\">ergoline<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":6390,"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":[38],"tags":[],"class_list":["post-5389","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-system-partner-news"],"_links":{"self":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5389","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=5389"}],"version-history":[{"count":1,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5389\/revisions"}],"predecessor-version":[{"id":7851,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/posts\/5389\/revisions\/7851"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media\/6390"}],"wp:attachment":[{"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/media?parent=5389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/categories?post=5389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datico.com\/en\/wp-json\/wp\/v2\/tags?post=5389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}