Abstract
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.
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Acknowledgement
This work has been partly supported by the University of Piraeus Research Center.
Dr. A. Menychtas acknowledges the Greek State Scholarship Foundation (ΙΚY). This research was implemented with a Scholarship from IKY and was funded from the action “Reinforcement of postdoctoral researchers” of the programme “Development of Human Resources, Education and Lifelong Learning”, with priority axes 6, 8, 9 and it was co-financed by the European Social Fund-ESF and the Greek State.
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Menychtas, A., Papadimatos, D., Tsanakas, P., Maglogiannis, I. (2018). On the Integration of Wearable Sensors in IoT Enabled mHealth and Quantified-self Applications. In: Auer, M., Tsiatsos, T. (eds) Interactive Mobile Communication Technologies and Learning. IMCL 2017. Advances in Intelligent Systems and Computing, vol 725. Springer, Cham. https://doi.org/10.1007/978-3-319-75175-7_9
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DOI: https://doi.org/10.1007/978-3-319-75175-7_9
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