Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration

Medagedara, M. Hansika and Ranasinghe, Anuradha and D.Lalitharathne, Thilina and Gopura, R.A.R.C and K Nandasiri, Gayani (2024) Advancements in Textile-Based sEMG Sensors for Muscle Fatigue Detection: A Journey from Material Evolution to Technological Integration. ACS Sensors. ISSN 2379-3694

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Abstract

Textile-based surface electromyography (sEMG) electrodes have emerged as a prominent tool in muscle fatigue assessment, marking a significant shift towards innovative, non-invasive methods. This review examines the transition
from metallic fibers to novel conductive polymers, elastomers, and advanced material-based electrodes, reflecting on the rapid evolution of materials in sEMG sensor technology. It highlights the pivotal role of material science in enhancing sensor adaptability, signal accuracy, and longevity, crucial for practical applications in health monitoring, while examining the balance of clinical precision with user comfort. Additionally, it maps the global sEMG research landscape of diverse regional
contributors and their impact on technological progress, focusing on the integration of Eastern manufacturing prowess with Western technological innovations, exploring both the opportunities and challenges in this global synergy. The integration of such textile-based sEMG innovations with artificial intelligence, nanotechnology, energy harvesting, and IoT connectivity, are also anticipated as future prospects. Such advancements are poised to revolutionize personalized, preventive healthcare. As the exploration of textile-based sEMG electrodes continues, the transformative potential not only promises to revolutionize integrated wellness and preventive healthcare but also signifies a seamless transition from laboratory innovations to real-world applications in sports medicine, envisioning the future of truly wearable material technologies.

Item Type:	Article
Faculty / Department:	Faculty of Human and Digital Sciences > Mathematics and Computer Science
Depositing User:	Anuradha Dissanayake Mudiyanselage
Date Deposited:	09 Sep 2024 10:44
Last Modified:	09 Sep 2024 10:44
URI:	https://hira.hope.ac.uk/id/eprint/4360

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