Spectral analysis of root-mean-square processed surface electromyography data as a measure of repetitive muscular exertion

摘要: Highly repetitive motion is associated with development of upper extremity musculoskeletal disorders (UEMSDs) among industrial workers, especially when encountered concurrently forceful exertions. Current measures “repetitiveness” provide information about the repetitiveness joint motion, but fail to complete muscular exertion, a more biomechanically meaningful measure repetition. The current study introduces novel processing technique in which surface electromyography (sEMG) data root-mean-square processed prior computation frequency spectrum. mean power resulting spectrum proposed metric for estimation exertion frequency. was compared movement and applied force frequencies during series isometric gripping trials an simulation. Results suggest that has potential be valuable estimate exposure musc...