A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä
Edge Devices for Internet of Medical Things: Technologies, Techniques, and Implementation
Tekijät: Ben Dhaou Imed, Ebrahimi Mousameh, Ben Ammar Meriam, Bouattour Ghada, Kanoun Olfa
Kustantaja: MDPI
Julkaisuvuosi: 2021
Journal: Electronics
Tietokannassa oleva lehden nimi: ELECTRONICS
Lehden akronyymi: ELECTRONICS-SWITZ
Artikkelin numero: 2104
Vuosikerta: 10
Numero: 17
Sivujen määrä: 20
DOI: https://doi.org/10.3390/electronics10172104
Verkko-osoite: https://www.mdpi.com/2079-9292/10/17/2104?type=check_update&version=1
Rinnakkaistallenteen osoite: 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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
