The regular use of activity trackers and biosignal sensors from non-professional users is constantly increasing, while for patients with chronic diseases has already become part of their daily routine for a continuous assessment of their health condition. However, the integration of such devices into larger systems such as health monitoring stations or assisted living applications is not straightforward due to a series of business, operational and technical issues which introduce extreme complexity for end-users and developers to properly support their diverse functionally and features. This work presents a thorough analysis of the aforementioned issues, proposes a generic integration solution for Bluetooth devices and evaluates the respective prototype implementations for Android and Linux systems.
CITATION STYLE
Menychtas, A., Papadimatos, D., Tsanakas, P., & Maglogiannis, I. (2018). On the integration of wearable sensors in IoT enabled mHealth and quantified-self applications. In Advances in Intelligent Systems and Computing (Vol. 725, pp. 77–88). Springer Verlag. https://doi.org/10.1007/978-3-319-75175-7_9
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