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.

中文翻译：

---

新的肌电图频谱和基于幅度的方法的联合分析，用于在模拟外科手术过程中进行实时肌肉疲劳评估：统计学意义的初步分析。

频谱和振幅联合分析（JASA）方法为在职业野外研究中指示四种肌肉状况提供了一种有价值的工具。它具有易于计算和人体工程学显示结果的优点。但是，指出了一些局限性，例如在整个任务完成过程中缺乏有关肌肉状况变化的信息。本文提出了JASA方法的两个改进，以实时量化肌肉疲劳以进行舒适性分析。进化方法侧重于增加时间窗口；顺序法分析了在恒定滑动时间流逝下的肌肉状况。对微创腹腔镜手术进行了一项初步研究。比较原始方法，进化方法和顺序方法获得的结果。