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Electrical stimulator with mechanomyography- based real-time monitoring, muscle fatigue detection, and safety shut-off: a pilot study

机译:基于机械学的实时监测,肌肉疲劳检测和安全关闭:试验研究

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摘要

Abstract Functional electrical stimulation (FES) has been used to produce force-related activities on the paralyzed muscle among spinal cord injury (SCI) individuals. Early muscle fatigue is an issue in all FES applications. If not properly monitored, overstimulation can occur, which can lead to muscle damage. A real-time mechanomyography (MMG)-based FES system was implemented on the quadriceps muscles of three individuals with SCI to generate an isometric force on both legs. Three threshold drop levels of MMG-root mean square (MMG-RMS) feature (thr50, thr60, and thr70; representing 50%, 60%, and 70% drop from initial MMG-RMS values, respectively) were used to terminate the stimulation session. The mean stimulation time increased when the MMG-RMS drop threshold increased (thr50: 22.7 s, thr60: 25.7 s, and thr70: 27.3 s), indicating longer sessions when lower performance drop was allowed. Moreover, at thr70, the torque dropped below 50% from the initial value in 14 trials, more than at thr50 and thr60. This is a clear indication of muscle fatigue detection using the MMG-RMS value. The stimulation time at thr70 was significantly longer (p = 0.013) than that at thr50. The results demonstrated that a real-time MMG-based FES monitoring system has the potential to prevent the onset of critical muscle fatigue in individuals with SCI in prolonged FES sessions.
机译:摘要功能电刺激(FES)已被用于在脊髓损伤(SCI)个体中的瘫痪肌肉中产生与瘫痪的肌肉有关的活动。早期肌肉疲劳是所有FES应用中的问题。如果未正确监测,可能会发生过度刺激,这可能导致肌肉损坏。基于机械模型(MMG)的FES系统是在三个人的四肢肌肉中实现的,用于在两条腿上产生等距力。使用三个阈值下降水平的MMG均方(MMG-RMS)特征(THR50,THR60和THR70;分别代表初始MMG-RMS值的50%,60%和70%下降)来终止刺激会议。当MMG-RMS降阈值增加时(THR50:22.7s,THR60:25.7 s和THR70:27.3)增加时,平均刺激时间增加,表示允许更低的性能下降时较长的会话。此外,在Thr70,扭矩从14项试验中的初始值下降到50%以下,超过Thr50和Thr60。这是使用MMG-RMS值的清晰指示肌肉疲劳检测。 THR70的刺激时间明显更长(p = 0.013),而不是thr50。结果表明,基于实时的基于MMG的FES监测系统有可能在长时间的FES会话中防止在SCI中的个体中的临界肌肉疲劳发作。

著录项

  • 来源
    《Biomedizinische Technik》 |2020年第4期|461-468|共8页
  • 作者单位

    Department of Biomedical Engineering Faculty of Engineering;

    Department of Biomedical Engineering Faculty of Engineering;

    Department of Electrical and Computer Engineering Faculty of Engineering;

    Department of Biomedical Engineering Faculty of Engineering|Medical University Vienna;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    FES; KE; MMG; RMS; SCI;

    机译:面部;曼;rms;

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