You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Exploring the potential of electrical bioimpedance technique for analyzing physical activity

Authors:

Abdelakram Hafid, Samaneh Zolfaghari, Annica Kristoffersson, Mia Folke

Research group:

Health-promoting engineering

Publication Type:

Journal article

Venue:

Frontiers in Psychology

Publisher:

Frontiers

DOI:

10.3389/fphys.2024.1515431

Abstract

Introduction: Exercise physiology investigates the complex and multifaceted human body responses to physical activity (PA). The integration of electrical bioimpedance (EBI) has emerged as a valuable tool for deepening our understanding of muscle activity during exercise.Method: In this study, we investigate the potential of using the EBI technique for human motion recognition. We analyze EBI signals from the quadriceps muscle and extensor digitorum longus muscle acquired when healthy participants in the range 20–30 years of age performed four lower body PAs, namely squats, lunges, balance walk, and short jumps.Results: The characteristics of EBI signals are promising for analyzing PAs. Each evaluated PA exhibited unique EBI signal characteristics.Discussion: The variability in how PAs are executed leads to variations in the EBI signal characteristics, which, in turn, can provide insights into individual differences in how a person executes a specific PA.

Bibtex

@article{Hafid7134,
author = {Abdelakram Hafid and Samaneh Zolfaghari and Annica Kristoffersson and Mia Folke},
title = {Exploring the potential of electrical bioimpedance technique for analyzing physical activity},
volume = {12},
month = {December},
year = {2024},
journal = {Frontiers in Psychology},
publisher = {Frontiers},
url = {http://www.es.mdu.se/publications/7134-}
}