A2 Refereed review article in a scientific journal
Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation
Authors: Ben Dhaou Imed, Ebrahimi Mousameh, Ben Ammar Meriam, Bouattour Ghada, Kanoun Olfa
Publisher: MDPI
Publication year: 2021
Journal: Electronics
Journal name in source: ELECTRONICS
Journal acronym: ELECTRONICS-SWITZ
Article number: 2104
Volume: 10
Issue: 17
Number of pages: 20
DOI: https://doi.org/10.3390/electronics10172104
Web address : https://www.mdpi.com/2079-9292/10/17/2104?type=check_update&version=1
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/69093149
The health sector is currently experiencing a significant paradigm shift. The growing number of elderly people in several countries along with the need to reduce the healthcare cost result in a big need for intelligent devices that can monitor and diagnose the well-being of individuals in their daily life and provide necessary alarms. In this context, wearable computing technologies are gaining importance as edge devices for the Internet of Medical Things. Their enabling technologies are mainly related to biological sensors, computation in low-power processors, and communication technologies. Recently, energy harvesting techniques and circuits have been proposed to extend the operating time of wearable devices and to improve usability aspects. This survey paper aims at providing an overview of technologies, techniques, and algorithms for wearable devices in the context of the Internet of Medical Things. It also surveys the various transformation techniques used to implement those algorithms using fog computing and IoT devices.
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