Edge devices for internet of medical things: Technologies, techniques, and implementation

Research output: Journal contributionsScientific review articlesResearch


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.

Original languageEnglish
Article number2104
JournalElectronics (Switzerland)
Issue number17
Number of pages20
Publication statusPublished - 01.09.2021
Externally publishedYes

Bibliographical note

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.

    Research areas

  • E-health, Energy harvesting, Fog computing, IoMT
  • Engineering