TY - JOUR

T1 - Edge devices for internet of medical things

T2 - Technologies, techniques, and implementation

AU - Ben Dhaou, Imed

AU - Ebrahimi, Mousameh

AU - Ammar, Meriam Ben

AU - Bouattour, Ghada

AU - Kanoun, Olfa

N1 - Funding Information: This research was funded by the “Deutscher Akademischer Austauschdienst” (DAAD), within the Bismon-57477606 project. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/9/1

Y1 - 2021/9/1

N2 - 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.

AB - 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.

KW - E-health

KW - Energy harvesting

KW - Fog computing

KW - IoMT

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85114439537&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/daf9984a-1263-337e-b785-9045b3b75e3e/

U2 - 10.3390/electronics10172104

DO - 10.3390/electronics10172104

M3 - Scientific review articles

AN - SCOPUS:85114439537

VL - 10

JO - Electronics (Switzerland)

JF - Electronics (Switzerland)

SN - 2079-9292

IS - 17

M1 - 2104

ER -