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dc.contributor.authorGurugoda, GACS
dc.contributor.authorPerera, BMAT
dc.contributor.authorDissanayake, DMGM
dc.contributor.authorKohombakadawala, IMCWB
dc.date.accessioned2024-03-19T04:35:30Z
dc.date.available2024-03-19T04:35:30Z
dc.date.issued2023-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/7488
dc.description.abstractMuscle fatigue measurement is crucial in various domains, including occupational health and safety, as muscle fatigue adversely affects cognitive and motor performance, leading to reduced productivity and increased injury risks. Wearable systems offer promising solutions for muscle fatigue monitoring, enabling continuous and long-term assessment of biomedical signals in unattended settings with comfort and non- intrusiveness. These systems facilitate performance optimization, injury prevention, training load management, individualized training programs, rehabilitation, and recovery. Surface electromyography (sEMG) signals are commonly utilized by some systems to extract features and classify muscle fatigue. Additionally, the utilization of goniometers, which are used in kinematic analysis, and other innovative approaches like tissue Doppler imaging, demonstrates promising potential for detecting localized muscle fatigue in wearable devices. This review article explores the challenges and advancements in fatigue monitoring through wearable devices and discusses the diverse applications of these technologies.en_US
dc.language.isoenen_US
dc.subjectMuscle fatigueen_US
dc.subjectDetectionen_US
dc.subjectMonitoringen_US
dc.subjectWearableen_US
dc.subjectNon-invasiveen_US
dc.titleAdvances in muscle fatigue detection: A comprehensive reviewen_US
dc.typeArticle Full Texten_US
dc.identifier.facultyFaculty of Engineeringen_US
dc.identifier.journalKDU-IRCen_US
dc.identifier.pgnos207 - 213en_US


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