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新的肌电图频谱和基于幅度的方法联合分析在模拟手术过程中实时肌肉疲劳评估中的应用:基于统计显著性的初步分析。

New joint analysis of electromyography spectrum and amplitude-based methods towards real-time muscular fatigue evaluation during a simulated surgical procedure: A pilot analysis on the statistical significance.

机构信息

Univ. Savoie Mont Blanc, SYMME, F-74000 Annecy, France.

Univ. Savoie Mont Blanc, SYMME, F-74000 Annecy, France.

出版信息

Med Eng Phys. 2020 May;79:1-9. doi: 10.1016/j.medengphy.2020.01.017. Epub 2020 Apr 6.

Abstract

The Joint Analysis of Spectral and Amplitude (JASA) method offers a valuable tool for the indication of four muscle conditions in occupational field studies. It has both advantages of an easy computation and an ergonomic display of the results. However, several limitations are pointed out such as the lack of information on the change of the muscle condition all along the completion of task. This paper proposes two evolutions of the JASA method to quantify muscular fatigue in real time for comfort analysis. The evolutionary method focuses on increased time windows; and the sequential method analyses the muscle conditions on constant sliding time lapses. A pilot study is conducted for a minimally-invasive laparoscopic procedure. The outcome results obtained with the original, the evolutionary and the sequential methods are compared. Both new methods provide a complementary analysis of the muscular fatigue over a task and the statistical significance of the condition.

摘要

光谱和幅度联合分析(JASA)方法为职业领域研究中四种肌肉状况的指示提供了有价值的工具。它具有计算简便和结果显示符合人体工程学的优点。然而,也指出了一些局限性,例如缺乏有关肌肉状况在任务完成过程中变化的信息。本文提出了 JASA 方法的两种改进,以便实时量化肌肉疲劳,进行舒适度分析。进化方法侧重于增加时间窗口;而顺序方法则在恒定的滑动时间间隔上分析肌肉状况。针对一项微创腹腔镜手术进行了初步研究。比较了原始方法、进化方法和顺序方法的结果。这两种新方法都可以对任务过程中的肌肉疲劳和状态的统计显著性进行补充分析。

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