Key study on Remote Patient Monitoring of COVID-19 patients<\/h2><\/div>![\"A](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/cosinuss-remotepatientmonitoring-covid19-featured-1200x800.jpg\" "\\"cosinuss-remotepatientmonitoring-covid19-featured\\"")
<\/span><\/div>Empower your medical team and your patients with remote patient monitoring (Shutterstock: 172885721).<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Remote Monitoring of vital signs can make
\nthe pandemic outbreak of COVID-19 more manageable<\/p><\/h2><\/div>
Within the framework of a first-in-class study in Munich, cosinuss\u00b0 provides the pioneering biosensor technology to monitor patients of COVID-19, who are in home isolation. The clinical study was initiated and led by Prof. Dr. Med. Georg Schmidt, head of the Biosignal Analysis Working Group, Klinikum rechts der Isar, Technical University of Munich. <\/span><\/p>\nWith the monitoring system, cosinuss\u00b0 provided a highly cost-effective, easy to handle and fast to configure extended workbench for healthcare centers. It consists of an in-ear wearable sensor (cosinuss\u00b0 Two) a data-gateway (Virtual Gateway or Gateway) and a server database (cosinuss\u00b0 Health Platform). <\/span><\/p>\n<\/div>![\"youtube](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/05\/cos_video-thumbnail-uniklinik-muenchen-testet-ohrsensor.png\")
<\/a><\/span><\/div><\/div>University Hospital in Munich is testing cosinuss\u00b0 in-ear senosrs for fighting Covid-19.<\/span><\/p>\n<\/div>The in-ear sensor collects key physiological vital parameters from the patient in isolation, and transmits the data with the help of the Gateway to the cosinuss\u00b0 Health platform, where early warning algorithms calculate a composite score in real-time. Health professionals access all the vital patient information via a simple web application. The cosinuss\u00b0 solution supports health professionals in determining the urgency of the respective health situation and the necessity of hospital admission.<\/span><\/p>\nKey physiological parameters that are monitored include:<\/span><\/p>\n\n- Core Body Temperature<\/span><\/li>\n
- Heart Rate<\/span><\/li>\n
- Blood Oxygen Saturation <\/span><\/li>\n
- Respiration Rate<\/span><\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
The Mission – Keep up a functioning healthcare system.<\/h3><\/div>In this ongoing clinical study, the goal is to make the pandemic outbreak more manageable and to keep up a functioning healthcare system by:<\/p>\n
\n- Relieving hospital overload, increasing efficiency<\/li>\n
- Lowering the risk of infection for health workers and other inpatients<\/li>\n
- Providing timely and effective healthcare intervention for the affected people<\/li>\n
- Continuously telemonitoring people in home isolation<\/li>\n
- Providing accurate data basis for early clinical studies<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div>
![\"A](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/cosinuss-remotepatientmonitoring-covid19-solution-homemonitoring.jpg\" "\\"cosinuss-remotepatientmonitoring-covid19-solution-homemonitoring\\"")
<\/span><\/div>Remote patient monitoring with in-ear wearables in home isolation.<\/span><\/p>\n<\/div><\/div><\/div><\/div>![\"The](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/cosinuss-remotepatientmonitoring-covid19-solution-outdoor.jpg\" "\\"cosinuss-remotepatientmonitoring-covid19-solution-outdoor\\"")
<\/span><\/div>The wearable device cosinuss\u00b0 Two can be worn anytime and anywhere.<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Remote Patient Monitoring in the Telecovid study – Solution overview<\/span><\/p><\/h2><\/div>High risk patients are equipped with a wearable in-ear sensor and a Gateway<\/a>. The wearable sensor is measuring vital signs data from inside the ear canal and is transmitting collected values via Bluetooth 4.0 to the Gateway. The Gateway is a stand-alone device which is capturing and storing the transferred data. From here the patient\u2019s Gateway transmits the collected data in real-time or at a specified time to the cosinuss\u00b0 Health platform.<\/p>\nOn the cosinuss\u00b0 Health platform, the collected vital data is processed in real-time, through advanced algorithms and analytics, in order to determine the early warning scores. Via the User interface of the cosinuss\u00b0 Health Platform<\/a>, health professionals are able to visualize and access the vital information per patient. The researchers can access the anonymised health data on the cosinuss\u00b0 Health Platform with a standard interface (e.g. REST API).<\/p>\n<\/div><\/div><\/div><\/div>![\"Illustration](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2021\/11\/CMED_Web_ProductsOverview_XXXX_V01_SystemOverview.png\")
<\/a><\/span><\/div>Visualization of the remote patient monitoring dataflow from the cosinuss\u00b0 wearable sensor, to the Gateway and to the cosinuss\u00b0 Health platform. <\/span><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Components of the Remote Patient Monitoring System in the Telecovid study<\/h2><\/div>Wearable sensor<\/h3><\/div>cosinuss\u00b0 wearable sensors detect, analyze and transmit information concerning physiological body signals such as vital signs, and ambient data which allow immediate biofeedback to the wearer and\/or to remote operators in healthcare.<\/p>\n<\/div>
<\/div><\/div><\/div><\/div><\/div>cosinuss\u00b0 Two<\/h4><\/div><\/div><\/div><\/div>cosinuss\u00b0 Two is an in-ear wearable sensor incorporating a red\/infrared photoplethysmography (PPG) sensor element, a contact temperature sensor and an accelerometer.<\/p>\n
It thus collects the raw data:<\/p>\n
\n- Optical pulse wave (PPG signal)<\/li>\n
- Core body temperature<\/li>\n
- 3-D acceleration of the head<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
Based on this accurate raw data, vital signs and additional parameters are calculated:<\/p>\n<\/div>
\n- Core Body Temperature<\/li>\n
- Heart Rate<\/li>\n
- Blood Oxygen Saturation<\/li>\n
- Interbeat (R-R) Interval<\/li>\n
- Perfusion Index<\/li>\n
- Signal Quality<\/li>\n
- Movements<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>
![](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2022\/08\/TWO-Waage-LRC-Web-105.jpg\")
<\/a><\/span><\/div>The wearable in-ear sensor for monitoring vital signs remotely: cosinuss\u00b0 Two<\/span><\/p>\n<\/div><\/div><\/div><\/div><\/i><\/span>Please note: cosinuss\u00b0 Two is not a medical device, however it was evaluated and validated in several clinical studies. For a detailed description of the results and the accuracy of the sensor, please request the evaluation whitepaper. Contact us today.<\/a> UPDATE: We are excited to introduce the new CE certified (MDR) version: The c-med\u00b0 alpha<\/a><\/b>!<\/span><\/div><\/div><\/div><\/div><\/div>![\"c-med\u00b0](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2023\/01\/CMED-Waage-LRC-Web-GDA-092_V02.jpg\" "\\"CMED-Waage-LRC-Web-GDA-092_V02\\"")
<\/span><\/div><\/div><\/div><\/div><\/div><\/div>Gateway Solutions<\/h3><\/div>
<\/span><\/div>Empower your medical team and your patients with remote patient monitoring (Shutterstock: 172885721).<\/span><\/p>\n<\/div> Remote Monitoring of vital signs can make Within the framework of a first-in-class study in Munich, cosinuss\u00b0 provides the pioneering biosensor technology to monitor patients of COVID-19, who are in home isolation. The clinical study was initiated and led by Prof. Dr. Med. Georg Schmidt, head of the Biosignal Analysis Working Group, Klinikum rechts der Isar, Technical University of Munich. <\/span><\/p>\n With the monitoring system, cosinuss\u00b0 provided a highly cost-effective, easy to handle and fast to configure extended workbench for healthcare centers. It consists of an in-ear wearable sensor (cosinuss\u00b0 Two) a data-gateway (Virtual Gateway or Gateway) and a server database (cosinuss\u00b0 Health Platform). <\/span><\/p>\n<\/div> University Hospital in Munich is testing cosinuss\u00b0 in-ear senosrs for fighting Covid-19.<\/span><\/p>\n<\/div> The in-ear sensor collects key physiological vital parameters from the patient in isolation, and transmits the data with the help of the Gateway to the cosinuss\u00b0 Health platform, where early warning algorithms calculate a composite score in real-time. Health professionals access all the vital patient information via a simple web application. The cosinuss\u00b0 solution supports health professionals in determining the urgency of the respective health situation and the necessity of hospital admission.<\/span><\/p>\n Key physiological parameters that are monitored include:<\/span><\/p>\n In this ongoing clinical study, the goal is to make the pandemic outbreak more manageable and to keep up a functioning healthcare system by:<\/p>\n Remote patient monitoring with in-ear wearables in home isolation.<\/span><\/p>\n<\/div> The wearable device cosinuss\u00b0 Two can be worn anytime and anywhere.<\/span><\/p>\n<\/div> Remote Patient Monitoring in the Telecovid study – Solution overview<\/span><\/p><\/h2><\/div> High risk patients are equipped with a wearable in-ear sensor and a Gateway<\/a>. The wearable sensor is measuring vital signs data from inside the ear canal and is transmitting collected values via Bluetooth 4.0 to the Gateway. The Gateway is a stand-alone device which is capturing and storing the transferred data. From here the patient\u2019s Gateway transmits the collected data in real-time or at a specified time to the cosinuss\u00b0 Health platform.<\/p>\n On the cosinuss\u00b0 Health platform, the collected vital data is processed in real-time, through advanced algorithms and analytics, in order to determine the early warning scores. Via the User interface of the cosinuss\u00b0 Health Platform<\/a>, health professionals are able to visualize and access the vital information per patient. The researchers can access the anonymised health data on the cosinuss\u00b0 Health Platform with a standard interface (e.g. REST API).<\/p>\n<\/div> Visualization of the remote patient monitoring dataflow from the cosinuss\u00b0 wearable sensor, to the Gateway and to the cosinuss\u00b0 Health platform. <\/span><\/p>\n<\/div> cosinuss\u00b0 wearable sensors detect, analyze and transmit information concerning physiological body signals such as vital signs, and ambient data which allow immediate biofeedback to the wearer and\/or to remote operators in healthcare.<\/p>\n<\/div> cosinuss\u00b0 Two is an in-ear wearable sensor incorporating a red\/infrared photoplethysmography (PPG) sensor element, a contact temperature sensor and an accelerometer.<\/p>\n It thus collects the raw data:<\/p>\n Based on this accurate raw data, vital signs and additional parameters are calculated:<\/p>\n<\/div> The wearable in-ear sensor for monitoring vital signs remotely: cosinuss\u00b0 Two<\/span><\/p>\n<\/div>
\nthe pandemic outbreak of COVID-19 more manageable<\/p><\/h2><\/div><\/a><\/span><\/div><\/div>\n
The Mission – Keep up a functioning healthcare system.<\/h3><\/div>
\n
<\/span><\/div><\/span><\/div><\/a><\/span><\/div>Components of the Remote Patient Monitoring System in the Telecovid study<\/h2><\/div>
Wearable sensor<\/h3><\/div>
cosinuss\u00b0 Two<\/h4><\/div>
\n
\n
<\/a><\/span><\/div><\/span><\/div>Gateway Solutions<\/h3><\/div>
![\"Gateway](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2022\/08\/GATE-Waage-LRC-Web-116.jpg\" "\\"GATE-Waage-LRC-Web-116\\"")
<\/span><\/div>![\"Screenhsot](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2023\/02\/LabApp.png\" "\\"LabApp\\"")
<\/span><\/div>![\"Cross-platform](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2021\/12\/Cosinuss-DataAccess-CrossPlaform-WebInterface-1-scaled.jpg\")
<\/a><\/span><\/div>![\"Logo](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/CERT_Log__DSVGO-200x133.jpg\" "\\"CERT_Log__DSVGO\\"")
<\/span><\/div><\/div>![\"Logo](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/CERT_Log__SSL-encryption-200x133.jpg\" "\\"CERT_Log__SSL-encryption\\"")
<\/span><\/div><\/div>![](\"https:\/\/www.cosinuss.com\/wp-content\/uploads\/2020\/04\/CERT_Log__Serverstandort-Deutschalnd-200x133.jpg\" "\\"CERT_Log__Serverstandort")
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