【摘要】 小波变换能将各种交织在一起的由不同频率组成的混合信号分解成不相同频段的信号。本文采用小波变换的方法对针电极肌电信号 (NEMG)进行去噪声处理 ,并进行对比实验。结果表明 ,在应用小波变换处理 NEMG信号过程中 ,只要适当选取变换尺度就可以在处理信号的同时 ,有效地消除原信号中高频噪声和基线漂移的影响更多还原

【Abstract】 Wavelet transform (WT) is a promising technique for time frequency analysis. By decomposing signals into elementary building blocks that are well localized both in time and frequency, the WT can characterize the local regularity of signal. In this paper, we process the needle electrode electromyography (NEMG) signal with noise by adopting WT and have completed the contrast experiments. The results show that WT is an effective method by which high frequency noise and baseline drift in NEMG can successfully be eliminated by selecting proper transform scales of WT.更多还原