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Extraction of Some Relevant Instants from EMG Signal

机译:从EMG信号提取一些相关时刻

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摘要

In this paper, an algorithm to estimate key instants in EMG signal during pre-motrice and motrice phases is developed. It detects automatically i) the onset of muscle activity when an explicite recommendation of preparation is dictated (pre-motor onset), ii) the onset of effective muscle contraction (motor onset) and iii) the instant of muscle contraction desactivation (motor offset). The algorithm is based on statistical thresholding and counting the number of samples exceeding the threshlold. The counting is ensured by elaborated temporal scanning in forward and backward directions. The threshold calculus is based on statistics of the EMG signal during muscle activity and muscle rest. The algorithm is illustrated for the superficial flexor muscle during a handgrip exercice and is validated using subjective visual inspection and objective evaluation (error rate). The results revealed that relevant instants in EMG signal are well estimated.
机译:在本文中,开发了一种估算MOTRICE和MOTRICE阶段的EMG信号密钥时刻的算法。 它会自动检测到肌肉活动的发作,当准备的明确建议被指定(运动前发作),ii)有效肌肉收缩(电动机发作)和III)的发作,肌肉收缩脱垂(电动机偏移)的瞬间 。 该算法基于统计阈值处理,并计数超出阈值的样本数。 通过在向前和向后方向阐述时间扫描来确保计数。 阈值微积分基于肌肉活动和肌肉休息期间EMG信号的统计。 在手工锻炼期间浅表屈肌肌肉说明该算法,并使用主观视觉检查和客观评估(错误率)验证。 结果表明,EMG信号中的相关时刻估计很好。

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