Discrete wavelet transform analysis of surface electromyography for the fatigue assessment of neck and shoulder muscles
作者： Suman Kanti Chowdhury , Ashish D. Nimbarte , Majid Jaridi , Robert C. Creese
DOI: 10.1016/J.JELEKIN.2013.05.001
关键词: Upper trapezius 、 Wavelet 、 Discrete wavelet transform 、 Physical medicine and rehabilitation 、 Quantitative assessment 、 Medicine 、 Early detection 、 Muscle fatigue 、 Electromyography 、 Physical therapy 、 Dynamic contractions
摘要: Assessment of neuromuscular fatigue is essential for early detection and prevention risks associated with work-related musculoskeletal disorders. In recent years, discrete wavelet transform (DWT) surface electromyography (SEMG) has been used to evaluate muscle fatigue, especially during dynamic contractions when the SEMG signal non-stationary. However, its application assessment workrelated neck shoulder not well established. Therefore, purpose this study was establish DWT analysis as a suitable method conduct quantitative under repetitive conditions. Ten human participants performed 40 min fatiguing arm exertions while data from upper trapezius sternocleidomastoid muscles were recorded. The ten most commonly functions analysis. Spectral changes estimated using power coefficients in 12–23 Hz frequency band showed highest sensitivity induced by exertions. Although tested reasonably demonstrated expected trend development recovery, overall performance ‘‘Rbio3.1’’ terms estimation statistical significance better than remaining nine
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