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Assessment of repeatability of surface electromyography signals by singular value decomposition
Affiliation:1. Department of Biomedical Engineering, Cullen College of Engineering, University of Houston, Houston, TX 77204, USA;2. Guangdong Provincial Work Injury Rehabilitation Center, Guangzhou, Guangdong 510000, China;1. Department of Pediatric Surgery, Kurume University School of Medicine, 67 Asahi-machi, Kurume, Fukuoka 830-0011, Japan;2. Pediatrics and Child Health, Kurume University School of Medicine, 67 Asahi-machi, Kurume, Fukuoka 830-0011, Japan;3. Division of Medical Safety Management, Kurume University School of Medicine, 67 Asahi-machi, Kurume, Fukuoka 830-0011, Japan;1. Department of Neonatology, Guangzhou Women and Children''s Medical Center, Guangzhou Medical University, Guangzhou, China;2. Department of Hematology, Guangzhou Institute of Pediatrics, Guangzhou Women and Children''s Medical Center, Guangzhou Medical University, Guangzhou, China;1. Department of Molecular Pathology, Ehime University Graduate School of Medicine, Shitsukawa, Toon City, Ehime, 791-0295, Japan;2. Laboratory of Veterinary Anatomy, Nippon Veterinary and Life Science University, 1-7-1 Kyonan-cho, Musashino City, Tokyo, 180-8602, Japan;3. Division of Diagnostic Pathology, Ehime University Hospital, Shitsukawa, Toon City, Ehime, 791-0295, Japan;4. Department of Veterinary Surgery, Okayama University of Science, 1-3 Ikoinooka, Imabari City, Ehime, 794-8555, Japan;1. Centre for Gastrointestinal Sciences, Institute of Inflammation and Repair, University of Manchester, Manchester Academic Health Sciences Centre, Salford Royal Hospital, Salford, United Kingdom;3. Department of Neurology, Salford Royal Hospital National Health System (NHS) Trust, Salford, United Kingdom;4. Institute of Neurology, University College London, London, United Kingdom
Abstract:Singular value decomposition (SVD) of full-wave rectified surface electromyography (sEMG) signals was investigated for repeatability indices of sEMG linear envelopes (LE) during biceps curl. The SVD based repeatability indices were compared with a well-known method, the variance ratio (VR). The usefulness of the offered indices was examined by a simulation and it was applied to the sEMG LEs. The results have shown that the VRs were correlated with the SVD based indices significantly. The usefulness of the offered indices on real world EMG signals practically comes from decreasing amplitudes of the first few singular values of EMG LE matrix. If repeatability is high, singular values decay fast and vice versa.If justified by further researches, the offered indices may be used practically for repeatability measurement of sEMG LEs.
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