{"id":1155,"date":"2026-04-18T07:10:00","date_gmt":"2026-04-18T07:10:00","guid":{"rendered":"https:\/\/datico.com\/new-system-partner-h-p-cosmos\/"},"modified":"2026-05-02T16:13:11","modified_gmt":"2026-05-02T16:13:11","slug":"new-system-partner-h-p-cosmos","status":"publish","type":"post","link":"https:\/\/datico.com\/en\/system-partner-news\/new-system-partner-h-p-cosmos\/","title":{"rendered":"h\/p\/cosmos"},"content":{"rendered":"\t\t
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Connection to Datico\u00ae<\/sup> Live Control<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Conveyor belt control in the overall digital system <\/span><\/h4>

The integration of treadmill systems and ergometers from h\/p\/cosmos sports & medical<\/a> GmbH<\/span><\/span> in Datico\u00ae<\/sup> Live Control<\/a> enables via the coscom protocol<\/span><\/span><\/a> direct control and real-time data transmission of treadmill systems. Training parameters, vital data and environmental information are recorded synchronously and brought together in a consistent overall context – as the basis for precise, data-based analyses. <\/p>


<\/strong>Direct control and real-time integration in Datico\u00ae<\/sup> Live Control<\/span><\/h4>

The treadmill systems from h\/p\/cosmos <\/span><\/span>are not only used as a data source in this setup, but are also actively integrated into the training and measurement process. Bidirectional communication based on the coscom protocol takes place via integration in Datico\u00ae<\/sup> Live Control. <\/p>

In concrete terms, this means<\/p>

  • Real-time control<\/strong> of speed and incline<\/li>
  • Synchronized data acquisition of<\/strong> all training parameters<\/li>
  • Consistent linking<\/strong> with other data sources<\/li><\/ul>


    The technical connection is currently made via RS232 or RJ45 and will be expanded in the future to include wireless technologies such as Bluetooth.<\/p>


    <\/strong>Supplement to the zebris integration<\/span><\/h4>

    The connection to the biomechanical measurement systems of zebris Medical GmbH<\/span><\/span> treadmill data from h\/p\/cosmos <\/span><\/span>is already being recorded – albeit downstream as part of a completed measurement and analysis report<\/strong>.<\/p>

    The integration described here goes a decisive step further:
    Via the direct connection to Datico\u00ae<\/sup> Live Control <\/span>, the treadmill data is integrated live, controllable and fully synchronized<\/strong> into the overall process.<\/p>

    Result:
    Not just analysis afterwards, but active control and real-time synchronization of complex training and study scenarios<\/strong>.<\/p>


    <\/strong>Cross-system data synchronization in the application context<\/span><\/h4>

    As part of a research project at the Max Planck Institute<\/span><\/span> this integration was implemented in a complex study scenario.<\/p>

    The following data sources were merged synchronously:<\/p>

    • Treadmill data (speed, incline, status parameters)<\/li>
    • Ambient data from the altitude or hypoxia chamber<\/li>
    • Heart rate via the Polar H10<\/li>
    • SpO\u2082 data via corresponding sensor systems<\/li><\/ul>


      The merging takes place in Datico\u00ae<\/sup> Live Control<\/span> and is then transferred to the Datico\u00ae<\/sup> LIFE HUB<\/span> in a structured manner.<\/p>


      <\/strong>From live training to holistic data analysis<\/span><\/h4>

      The decisive added value comes from the combination of live control and a central data platform<\/strong>:<\/p>

      • Training is controlled and documented in real time in Datico\u00ae<\/sup> Live Control<\/span> <\/li>
      • In the Datico\u00ae<\/sup> LIFE HUB<\/span>, this data is merged with existing patient, test subject or athlete data<\/li><\/ul>


        This creates:<\/p>

        • a complete temporal and content-related context of<\/strong> all training and measurement data<\/li>
        • A consistent data history<\/strong> across different applications<\/li>
        • a reliable basis for in-depth analyses, evaluations and decision-making processes

          <\/strong><\/strong><\/li><\/ul>


          <\/strong>New integration and documentation options for manufacturers<\/span><\/h4>

          For h\/p\/cosmos <\/span><\/span>this connection opens up a new dimension of system integration:<\/p>

          The treadmill data recorded via Datico\u00ae<\/sup> Live Control<\/span> can be processed in a standardized way and passed on via established interfaces, for example via:<\/p>

          • HL7<\/li>
          • FHIR<\/li>
          • DICOM<\/li><\/ul>


            This allows training and performance data to be recorded:<\/p>

            • Seamlessly integrate into clinical information systems<\/li>
            • Integrate into existing documentation processes<\/li>
            • for research, therapy and performance analysis in a structured way<\/li><\/ul>


              Result:
              A significant expansion of connectivity to existing IT ecosystems.<\/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

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              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

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              Integration of h\/p\/cosmos in the 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
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              How are the h\/p\/cosmos treadmills technically integrated? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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              Integration takes place via the coscom protocol<\/span><\/span> and is implemented in Datico\u00ae<\/sup> Live Control. This enables bidirectional communication, which includes both the recording of all relevant training parameters and the active control of the treadmill in real time. <\/p>\n

              In addition, integration into Datico\u00ae<\/sup> Live Control enables the treadmill data to be combined directly with other physiological measurement data and environmental parameters. These include in particular <\/p>\n

                \n
              • Wearables and sensor systems (e.g. heart rate, SpO\u2082) via Bluetooth<\/li>\n
              • Data from climatic, altitude or hypoxia chambers<\/li>\n
              • Other connected measuring and training systems<\/li>\n<\/ul>\n


                This data is synchronized in real time and recorded in a common context, which opens up completely new possibilities in live analysis, training control and study implementation.<\/p>\n

                In the next step, all data is automatically transferred to the Datico\u00ae<\/sup> LIFE HUB. There it is merged with existing patient, test subject or athlete data as well as other measurement, analysis and feedback information. <\/p>\n

                This creates a holistic database that:<\/p>\n

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                • provides a complete overview of the respective user.<\/li>\n
                • allows the combination with historical and supplementary data.<\/li>\n
                • and supports a comprehensive evaluation and interpretation in the overall context.<\/li>\n<\/ul>\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
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                  What is the difference to integration via zebris? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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                  In the case of integration via zebris Medical GmbH<\/span><\/span> the integration of the treadmill data from h\/p\/cosmos <\/span><\/span>in a classic measurement system context. Technically, this corresponds to the connection of a treadmill to an ECG or spiroergometry system:

                  The treadmill is integrated into the measuring system via the respective manufacturer’s software, a defined measurement is carried out and the evaluated results are then transferred to the Datico\u00ae<\/sup> LIFE HUB as a structured report.<\/p>\n

                  This approach is therefore characterized by a downstream data transfer<\/strong> in which the analysis takes place in the primary system.<\/p>\n

                  The integration via Datico\u00ae<\/sup> Live Control described here, on the other hand, takes a fundamentally different approach:
                  The treadmill is directly and fully integrated into the running process so that all training and measurement data is recorded, controlled and synchronized in real time<\/strong>.<\/p>\n

                  The treadmill functions via the coscom protocol<\/span><\/span> as an active component of the system architecture. Other systems and sensors that supply data via the protocol or connected interfaces can also be directly integrated into the data flow. <\/p>\n

                  A key advantage of this architecture is the extended data availability and further processing:
                  The data recorded in Datico\u00ae<\/sup> Live Control is transferred to the Datico\u00ae<\/sup> LIFE HUB and can be flexibly processed from there, for example:<\/p>\n

                    \n
                  • Integration into clinical systems via HL7, FHIR or DICOM<\/li>\n
                  • Transfer to scientific evaluation tools (e.g. MATLAB, SPSS)<\/li>\n
                  • Connection to BI and reporting systems such as Power BI<\/li>\n
                  • Use via APIs for individual analysis and research environments<\/li>\n<\/ul>\n


                    Result:
                    While the integration via Zebris primarily represents a structured transfer of results after a measurement has been completed<\/strong>, the direct connection via Datico Live Control enables continuous, real-time data acquisition and flexible, cross-system processing<\/strong>.<\/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

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                    What data is recorded and processed in live operation? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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                    In live operation, all of the functions performed by the treadmill system from h\/p\/cosmos sports & medical GmbH<\/span><\/span> training and measurement data provided by the coscom protocol<\/span><\/span> to Datico\u00ae<\/sup> Live Control and processed there in real time.<\/p>\n

                    These include in particular<\/p>\n

                      \n
                    • Speed and gradient parameters<\/li>\n
                    • Heart rate (if recorded by the system)<\/li>\n
                    • Stride frequency and stride length<\/li>\n
                    • Further device-specific performance and status data<\/li>\n<\/ul>\n


                      A key advantage of this architecture lies in the system role of the treadmill:
                      The treadmill acts as a central data node (master)<\/strong> within the measurement environment. This means that not only the original treadmill data can be recorded, but also data from third-party systems that are connected directly to the treadmill via additional coscom interfaces. <\/p>\n

                      This enables:<\/p>\n

                        \n
                      • the integration of further measuring systems via the treadmill as a central interface<\/li>\n
                      • a consolidated collection of heterogeneous data sources<\/li>\n
                      • a simplified system architecture with a high level of data integration at the same time<\/li>\n<\/ul>\n


                        All recorded data is synchronized in Datico\u00ae<\/sup> Live Control and then transferred to the Datico\u00ae<\/sup> LIFE HUB in a structured manner.<\/p>\n

                        There they are available in the overall context of other physiological, diagnostic and training-related data and form the basis for comprehensive analyses, evaluations and scientific assessments.<\/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

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                        How is the data used in the overall context? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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                        The data recorded in live operation of the treadmill systems from h\/p\/cosmos sports & medical GmbH<\/span><\/span> are first processed in Datico\u00ae<\/sup> Live Control in real time and synchronized with other data sources. These include in particular <\/p>\n

                          \n
                        • Wearables and sensor systems (e.g. heart rate, SpO\u2082)<\/li>\n
                        • Other medical and sports science measuring devices<\/li>\n
                        • Environmental data from climate, altitude or hypoxia chambers<\/li>\n<\/ul>\n


                          Even at this level, a consistent live data stream is created that enables training and stress situations to be evaluated immediately.<\/p>\n

                          In the next step, all data is transferred to the Datico\u00ae<\/sup> LIFE HUB in a structured manner. There it is merged with all other available information on the respective patient, test subject or athlete – regardless of the source, time or measurement system. <\/p>\n

                          The result is a consistent, cross-system overall view that combines different measurement worlds and makes them comparable.<\/p>\n

                          The Datico\u00ae<\/sup> LIFE HUB naturally offers extensive options for analyzing the data directly, including<\/p>\n

                            \n
                          • Datico\u00ae<\/sup> Index<\/strong>
                            Creation of aggregated key figures from several key performance indicators (e.g. endurance index from ergospirometry or lactate data) for simplified, target group-oriented interpretation of complex measured values

                            <\/li>\n
                          • Datico\u00ae <\/sup>Reference Sets <\/strong>
                            Contextualization of individual measurement parameters through defined comparison values (e.g. traffic light logic red-yellow-green) for quick evaluation and classification

                            <\/li>\n
                          • Datico\u00ae<\/sup> IDOL (reference profiles)<\/strong>
                            Comparison of individual measurement results with freely definable ideal or target profiles for the holistic evaluation of test batteries and performance states

                            <\/li>\n
                          • Longitudinal progression analyses<\/strong>
                            Presentation and analysis of the development of performance and health parameters over time across several measurement points

                            <\/li>\n
                          • Benchmarking & group comparisons<\/strong>
                            Comparison of patients, test subjects or athletes with reference groups or peer groups to identify strengths, weaknesses and development potential

                            <\/li>\n
                          • Integration in scientific analysis environments<\/strong>
                            Further processing of the data in tools such as IBM SPSS Statistics<\/span><\/span>, MATLAB<\/span><\/span> or R (programming language)<\/span><\/span> for carrying out in-depth statistical and model-based analyses

                            <\/li>\n
                          • Connection to BI and reporting systems<\/strong>
                            Integration in platforms such as Microsoft Power BI<\/span><\/span> or Qlik Sense<\/span><\/span> for visualization, aggregation and company-wide provision of key figures

                            <\/li>\n
                          • Integration into clinical and administrative systems<\/strong>
                            Transfer of data to hospital information systems (HIS) and electronic patient files (ePA) to support end-to-end documentation and care processes<\/li>\n<\/ul>\n


                            This means that the data obtained during training is not viewed in isolation, but is transferred into a comprehensive analytical context – as a basis for well-founded decisions in clinical practice, research and performance optimization.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\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

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                            What are the advantages for clinical and scientific applications? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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                            The integration of the treadmill systems from h\/p\/cosmos sports & medical GmbH<\/span><\/span> into Datico\u00ae<\/sup> Live Control and the Datico\u00ae<\/sup> LIFE HUB creates a consistent, valid and highly efficient database for clinical and scientific applications.<\/p>\n

                            A key advantage lies in the real-time monitoring and control of complex measurement scenarios<\/strong>:
                            Without a central platform, data from different, isolated systems would have to be merged manually. Datico\u00ae<\/sup> Live Control, on the other hand, enables live display and control of all relevant parameters – for example in climate chambers, altitude or hypoxia chambers – with the integration of: <\/p>\n

                              \n
                            • Wearables and Bluetooth-based sensor systems<\/li>\n
                            • Ambient data (e.g. air composition, pressure conditions)<\/li>\n
                            • Exercise equipment such as treadmills or ergometers<\/li>\n<\/ul>\n


                              Another key advantage is the automated, time-synchronized data acquisition<\/strong>:
                              All parameters are recorded synchronously across all systems in real time. Time-consuming manual merging and time-based reconciliation – using Excel-based processes, for example – are completely eliminated. This leads to: <\/p>\n

                                \n
                              • a considerable time saving<\/li>\n
                              • a significant reduction in sources of error<\/li>\n
                              • significantly higher data quality and reproducibility<\/li>\n<\/ul>\n


                                In addition, integration into the Datico\u00ae<\/sup> LIFE HUB creates comprehensive analytical added value:
                                The data collected can be combined with other measurement, analysis and context data and evaluated using advanced methods, for example through:<\/p>\n

                                  \n
                                • Datico\u00ae<\/sup> Index<\/strong>
                                  Creation of aggregated key figures from several key performance indicators (e.g. endurance index from ergospirometry or lactate data) for simplified, target group-oriented interpretation of complex measured values

                                  <\/li>\n
                                • Datico\u00ae <\/sup>Reference Sets <\/strong>
                                  Contextualization of individual measurement parameters through defined comparison values (e.g. traffic light logic red-yellow-green) for quick evaluation and classification

                                  <\/li>\n
                                • Datico\u00ae<\/sup> IDOL (reference profiles)<\/strong>
                                  Comparison of individual measurement results with freely definable ideal or target profiles for the holistic evaluation of test batteries and performance states

                                  <\/li>\n
                                • Longitudinal progression analyses<\/strong>
                                  Presentation and analysis of the development of performance and health parameters over time across several measurement points

                                  <\/li>\n
                                • Benchmarking & group comparisons<\/strong>
                                  Comparison of patients, test subjects or athletes with reference groups or peer groups to identify strengths, weaknesses and development potential<\/li>\n<\/ul>\n


                                  In addition, the platform opens up extensive possibilities for further processing and integration into third-party systems<\/strong>:<\/p>\n

                                    \n
                                  • Integration into scientific analysis environments<\/strong>
                                    Further processing of the data in tools such as IBM SPSS Statistics<\/span><\/span>, MATLAB<\/span><\/span> or R (programming language)<\/span><\/span> for carrying out in-depth statistical and model-based analyses

                                    <\/li>\n
                                  • Connection to BI and reporting systems<\/strong>
                                    Integration in platforms such as Microsoft Power BI<\/span><\/span> or Qlik Sense<\/span><\/span> for visualization, aggregation and company-wide provision of key figures

                                    <\/li>\n
                                  • Integration into clinical and administrative systems<\/strong>
                                    Transfer of data to hospital information systems (HIS) and electronic patient files (ePA) to support end-to-end documentation and care processes<\/li>\n<\/ul>\n


                                    Result:
                                    A consistent, scalable and scientifically robust data infrastructure that significantly improves both the implementation of complex studies and the data-based optimization of therapy and training processes.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\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

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                                    What are the advantages for manufacturers like h\/p\/cosmos? <\/div><\/span>\n\t\t\t\t\t\t\t\n\t\t\t<\/i><\/span>\n\t\t\t<\/i><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t
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                                    For h\/p\/cosmos sports & medical GmbH<\/span><\/span> the integration into Datico\u00ae<\/sup> Live Control and the Datico\u00ae<\/sup> LIFE HUB opens up a multitude of new application scenarios as well as a significantly expanded integration capability.<\/p>\n

                                    A key added value lies in the development of complex training and measurement environments<\/strong>:
                                    Thanks to the seamless integration into scenarios such as climate, altitude or hypoxia chambers, h\/p\/cosmos treadmill systems can be operated together with environmental data as well as wearables and sensor systems. The continuous, synchronous data acquisition enables fully integrated training and study settings – even with several test subjects at the same time. <\/p>\n

                                    For the manufacturer, this means the opportunity to specifically address new, demanding fields of application<\/strong> and offer corresponding solution packages.<\/p>\n

                                    In addition, manufacturers benefit from significantly increased data availability and utilization<\/strong>:
                                    The treadmill data collected via Datico\u00ae<\/sup> Live Control is stored in a structured manner in the Datico\u00ae<\/sup> LIFE HUB, where it can be flexibly evaluated and combined with other data sources.<\/p>\n

                                    This includes, among other things:<\/p>\n

                                      \n
                                    • the integration of user feedback (e.g. via digital forms)<\/li>\n
                                    • the combination with other diagnostic and training-related data<\/li>\n
                                    • the mapping of individual analysis and evaluation scenarios<\/li>\n<\/ul>\n


                                      Another decisive advantage is the ability to implement fully integrated diagnostic and test environments<\/strong>:
                                      The treadmill becomes part of comprehensive system landscapes in which various measurement systems, sensors and analysis tools work together. This allows complete test batteries and holistic evaluations to be presented in a consistent data context. <\/p>\n

                                      Last but not least, the integration significantly improves connectivity to third-party systems<\/strong>:
                                      The platform can be used to process treadmill data in a standardized way and transfer it to different target systems, for example:<\/p>\n

                                        \n
                                      • Clinical information systems (HIS)<\/li>\n
                                      • Management and documentation systems<\/li>\n
                                      • scientific analysis environments<\/li>\n
                                      • BI and reporting platforms<\/li>\n<\/ul>\n


                                        This is a decisive competitive advantage, particularly in tenders and complex project environments, as integration into existing IT and data landscapes is often a key requirement.<\/p>\n

                                        Conclusion<\/strong><\/span><\/h4>\n

                                        The connection via the coscom protocol<\/span><\/span> to Datico\u00ae<\/sup> Live Controland the Datico\u00ae<\/sup> LIFE HUB, the h\/p\/cosmos treadmill system is transformed from an isolated device unit into an integral component of complex, data-driven system architectures.<\/p>\n

                                        Result:
                                        Maximum flexibility, new market potential and the ability to fully map even highly complex requirements in clinical, research and performance environments.<\/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