肌电信号的小波谱分析

S. Karlsson, Jun Yu, M. Akay
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引用次数: 3

摘要

介绍了小波包方法作为表面肌电信号频谱分析的一种替代方法。对静态收缩过程中计算机合成的肌电信号和实际肌电信号进行了研究,结果表明小波包方法与傅里叶方法具有同样的效果。此外,小波包比传统方法更有优势,如频率的多分辨率,以及在动态收缩过程中对非平稳信号(如ME信号)进行时频分解的潜在用途。本文还介绍了小波压缩方法,通过减小傅里叶包和小波包估计的均方误差来改进谱估计。
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Spectral analysis of myoelectric signals by wavelet methods
The wavelet packet method is introduced as an alternative method for spectral analysis of surface myoelectric (ME) signals. Both computer synthesised and real myoelectric signals during static contractions are investigated, and the results show that the wavelet packet method performs equally well as the Fourier method. Moreover, wavelet packets give one some advantage over the traditional methods such as multiresolution of frequency, as well as its potential use for effecting time-frequency decomposition of the nonstationary signals such as the ME signals during dynamic contractions. The wavelet shrinkage method is also introduced for improving spectral estimates by reducing the mean square errors for both Fourier and wavelet packets estimates.
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