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Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

重要程度: ⭐⭐⭐⭐⭐

开源数据:Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators (figshare.com)

实验

人数:10人

  • 实验1:GL和GM
  • 实验2:TA

实验流程

  • 15-20次收缩预热,收缩程度小于最大收缩
  • 3次最大等长收缩,持续3-5秒,每次休息120秒
  • 10%,30%,50%,70%四个力水平下完成3次收缩,每次收缩包括5s上升,15s或20s保持,5s下降。收缩之间休息一分钟或者两分钟

Introduction

Blind source separation procedures (Holobar and Zazula, 2007; Negro et al., 2016) applied to these signals currentlyenable the identification of up to 30–40 motor units. However, after anautomatic extraction, most of these approaches require some degree of manual analysis/editing of the motor unit spike trains to check for false positives and false negatives (Del Vecchio et al., 2020; Enoka, 2019). This manual analysis consists of reinforcing the motor unit spike trains with tuned motor unit separation filters.