Abstract
This paper presents the concept of the IoT system for chronic arthritis patients monitoring with the usage of an inexpensive and comfortable wrist-band, avoiding expensive, medical equipment. We based on the raw data from the wristband to collect and analyze patients activity using dedicated, Android-based application to record and temporarily store data also considering its privacy and protection. We present detailed plots and linear regression analysis on circadian measurements on raw acceleration data, heart rate and a number of steps taken by a sample subject, then weekly analysis of the activity based on the aggregated accelerometer activity data. Finally, we present an IoT solution architecture for current and future studies, showing detailed information on the wristband used, including wristband’s protocol analysis over Bluetooth Low Energy, application level communication via MQTT and cloud data storage.
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Mielnik, P. et al. (2019). Monitoring of Chronic Arthritis Patients with Wearables - A Report from the Concept Phase. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_20
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DOI: https://doi.org/10.1007/978-3-030-28374-2_20
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