Internet of the body and cognitive companion: Enabling high-quality monitoring of patients at home

Wearables that continuously acquire vital and other medically relevant parameters facilitate treatment optimizations for individual patients and reduce the duration of hospitalizations - thus improving the patients' quality of life. To accomplish this, we demonstrate a scalable architecture tha...

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Bibliographic Details
Published in:	2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom) pp. 1 - 6
Main Authors:	Straessle, R., Temiz, Y., Gerke, S., Weiss, J., Sridhar, A., Paredes, S., Brunschwiler, T., Loertscher, E., Ebejer, N., Michel, B., van Kessel, T., Faro, I., Zafar, S., Libsch, F., Taubenblatt, M. A., Matsumoto, K.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-10-2017
Subjects:	analytics Bluemix Bluetooth Cloud computing connected sensors ECG Electrocardiography Gateway healthcare hub machine learning Medical services Sensor phenomena and characterization Temperature sensors wearables
Online Access:	Get full text
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Summary:	Wearables that continuously acquire vital and other medically relevant parameters facilitate treatment optimizations for individual patients and reduce the duration of hospitalizations - thus improving the patients' quality of life. To accomplish this, we demonstrate a scalable architecture that connects wearables through a hub to the cloud, combines edge and cloud computing to provide optimal user interaction, and allows analytics on multi-stream data from those connected devices.
DOI:	10.1109/HealthCom.2017.8210771