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Tutorial: Analysis of motor unit discharge characteristics from high-density surface EMG signals.

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第一作者： A,Del Vecchio

第一单位： Department of Bioengineering, Imperial College London, SW7 2AZ London, UK.

作者： A,Del Vecchio ^[1] ; A,Holobar ^[2] ; D,Falla ^[3] ; F,Felici ^[4] ; R M,Enoka ^[5] ; D,Farina ^[6]

作者单位： Department of Bioengineering, Imperial College London, SW7 2AZ London, UK. ^[1] Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia. ^[2] Centre of Precision Rehabilitation for Spinal Pain (CPR Spine), School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Birmingham, UK. ^[3] Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy. ^[4] Department of Integrative Physiology, University of Colorado Boulder, CO, United States. ^[5] Department of Bioengineering, Imperial College London, SW7 2AZ London, UK. Electronic address: d.farina@imperial.ac.uk. ^[6]

关键词 Blind source separation Decomposition Motor units Neural drive

医学主题词动作电位(Action Potentials);算法(Algorithms);肌电描记术(Electromyography);人类(Humans);肌, 骨骼(Muscle, Skeletal);募集反应, 神经学(Recruitment, Neurophysiological)

DOI 10.1016/j.jelekin.2020.102426

PMID 32438235

发布时间 2020-11-09

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