A comparison of three quantitative motor unit analysis algorithms.

Kevin C McGill
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引用次数: 3

Abstract

This study assessed the accuracy of three automatic motor unit analysis algorithms--multi-motor unit analysis, decomposition quantitative EMG, and EMGtools--on a set of real EMG signals whose true composition was determined by manual decomposition. All three algorithms correctly identified all the MUs in signals with up to 5 active MUs, and most of the MUs in signals with up to 10 active MUs. The algorithms accurately estimated MUAP amplitudes and firing rates, but they estimated duration less accurately because of baseline noise. These findings support the validity and utility of these algorithms.

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三种定量运动单元分析算法的比较。
本研究评估了三种自动运动单元分析算法——多运动单元分析、分解定量肌电图和肌电图工具——对一组真实肌电图信号的准确性,这些信号的真实成分是通过人工分解确定的。这三种算法都能正确识别出最多5个有效mu的信号中的所有mu,以及最多10个有效mu的信号中的大多数mu。该算法准确地估计了MUAP振幅和发射速率,但由于基线噪声的影响,它们估计持续时间的准确性较低。这些发现支持了这些算法的有效性和实用性。
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