Advancing Physical Activity Monitoring Through Bioimpedance Measurement: A Review
| aut.relation.journal | Progress in Biomedical Engineering | |
| dc.contributor.author | Jacobs, Ifeanyi | |
| dc.contributor.author | Lowe, Andrew | |
| dc.contributor.author | Garcia, Lorenzo | |
| dc.contributor.author | Zhang, Huiyang | |
| dc.date.accessioned | 2026-01-19T23:30:50Z | |
| dc.date.available | 2026-01-19T23:30:50Z | |
| dc.date.issued | 2026-01-09 | |
| dc.description.abstract | Bioimpedance measurements have gained significant attention due to their ability to assess body composition, muscle health, and internal physiological states without the need for intrusive procedures. This review paper explores the advancements and applications of bioimpedance technology, a non-invasive and cost-effective method for real-time monitoring of physiological parameters and physical activities. It discusses key measurement modalities such as bioelectrical impedance analysis (BIA), electrical impedance myography (EIM), and electrical impedance tomography (EIT), highlighting their unique advantages and applications. It also examines the role of biopotential electrodes, both polarizable and non-polarizable, in ensuring accurate physiological measurements. Despite challenges such as low spatial resolution, motion artifacts and sensitivity to electrode placement, the review highlights promising solutions. These include the integration of hybrid sensor systems, machine learning algorithms for signal interpretation, and the development of wearable and flexible electronics. The paper concludes by emphasizing the growing potential of bioimpedance technology in fields such as sports science, rehabilitation, personalized healthcare, fitness monitoring, and human-machine interaction, suggesting a future where continuous physiological monitoring becomes seamlessly embedded in daily life. | |
| dc.identifier.citation | Progress in Biomedical Engineering, ISSN: 2516-1091 (Print); 2516-1091 (Online), IOP Publishing. doi: 10.1088/2516-1091/ae3671 | |
| dc.identifier.doi | 10.1088/2516-1091/ae3671 | |
| dc.identifier.issn | 2516-1091 | |
| dc.identifier.issn | 2516-1091 | |
| dc.identifier.uri | http://hdl.handle.net/10292/20518 | |
| dc.language | eng | |
| dc.publisher | IOP Publishing | |
| dc.relation.uri | https://iopscience.iop.org/article/10.1088/2516-1091/ae3671 | |
| dc.rights | As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 4.0 licence, this Accepted Manuscript is available for reuse under a CC BY 4.0 licence immediately. Everyone is permitted to use all or part of the original content in this article, provided that they adhere to all the terms of the licence https://creativecommons.org/licences/by/4.0 | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | bioimpedance measurement | |
| dc.subject | biopotential electrode | |
| dc.subject | gesture recognition | |
| dc.subject | muscle activity | |
| dc.subject | physical activity | |
| dc.subject | wearable systems | |
| dc.subject | 4605 Data Management and Data Science | |
| dc.subject | 46 Information and Computing Sciences | |
| dc.subject | 40 Engineering | |
| dc.subject | 4009 Electronics, Sensors and Digital Hardware | |
| dc.subject | Machine Learning and Artificial Intelligence | |
| dc.subject | Physical Activity | |
| dc.subject | Bioengineering | |
| dc.subject | Clinical Research | |
| dc.subject | Generic health relevance | |
| dc.title | Advancing Physical Activity Monitoring Through Bioimpedance Measurement: A Review | |
| dc.type | Journal Article | |
| pubs.elements-id | 751430 |
