Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution
Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution
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DOI：
10.1016/s1050-6411(00)00030-4
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发表时间：
2000-12-01
影响因子：
2.5
通讯作者：
von Tscharner, V
中科院分区：
文献类型：
--
作者：
von Tscharner, V
表面肌电信号往往比进展曲线的均方根分析或其功率谱所解析的信息携带更多的信息。肌电信号的时频分析在时间和频率上分离同时发生的事件方面还没有得到令人满意的结果。本研究提出了一种时间序列强度的时频分析方法。这种强度分析使用具有指定时间分辨率的非线性缩放小波滤波器组来提取信号的时频方面。人们开发了特殊的程序来计算强度，以便及时地近似信号的功率。应用于肌电信号的强度分析称为功能性肌电分析。该方法解析肌电图信号中的事件。从肌电信号中提取的强度模式可以很好地分辨出事件发生的时间、强度和频率分布。从多个实验的平均强度模式解决肌肉激活的可重复的功能方面。利用模型肌电信号数据和实际肌电信号数据，展示并讨论了功能肌电信号分析的各种特性。(C) 2000 Elsevier Science Ltd.版权所有。
Surface myoelectric signals often appear to carry more information than what is resolved in root mean square analysis of the progress curves or in its power spectrum. Time-frequency analysis of myoelectric signals has not yet led to satisfactory results in respect of separating simultaneous events in time and frequency. In this study a time-frequency analysis of the intensities in time series was developed. This intensity analysis uses a filter bank of non-linearly scaled wavelets with specified time-resolution to extract time-frequency aspects of the signal. Special procedures were developed to calculate intensity in such a way as to approximate the power of the signal in time. Applied to an EMG signal the intensity analysis was called a functional EMG analysis. The method resolves events within the EMG signal. The time when the events occur and their intensity and frequency distribution are well resolved in the intensity patterns extracted from the EMG signal. Averaging intensity patterns from multiple experiments resolve repeatable functional aspects of muscle activation. Various properties of the functional EMG analysis were shown and discussed using model EMG data and real EMG data. (C) 2000 Elsevier Science Ltd. All rights reserved.