IoMT-based biomedical measurement systems for healthcare monitoring: a review

Authors

  • Imran Ahmed University of Sannio, Benevento, Italy
  • Eulalia Balestrieri
  • Francesco Lamonaca University of Calabria

DOI:

https://doi.org/10.21014/acta_imeko.v10i2.1080

Abstract

Biomedical measurement systems (BMS) have provided new solutions for healthcare monitoring and the diagnosis of various chronic diseases. With a growing demand for BMS in the field of medical applications, researchers are focusing on advancing these systems, including Internet of Medical Things (IoMT)-based BMS, with the aim of improving bioprocesses, healthcare systems and technologies for biomedical equipment. This paper presents an overview of recent activities towards the development of IoMT-based BMS for various healthcare applications. Different methods and approaches used in the development of these systems are presented and discussed, taking into account some metrological aspects related to the requirement for accuracy, reliability and calibration. The presented IoMT-based BMS are applied to healthcare applications concerning, in particular, heart, brain and blood sugar diseases as well as internal body sound and blood pressure measurements. Finally, the paper provides a discussion about the shortcomings and challenges that need to be addressed along with some possible directions for future research activities.

Author Biography

Imran Ahmed, University of Sannio, Benevento, Italy

Phd student in department of Engineering at University of Sannio, Benevento, Italy.

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Published

2021-06-29

Issue

Vol. 10 No. 2 (2021)

Section

Research Papers

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