Uterine Electromyography signals denoising using discrete wavelet transform

被引：0

作者：

Limem, Manel ^{[1
]}

Hamdi, Mohamed Ali ^{[1
]}

机构：

[1] Natl Inst Appl Sci & Technol, Dept Phys & Intrumentat, Tunis, Tunisia

来源：

2015 INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ICABME) | 2015年

关键词：

uterine EMG; wavelet function; denoising; SNR; SURFACE ELECTROMYOGRAPHY; NOISE;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper introduces the application of the discrete wavelet transform in noise reduction of real uterine Electromyography (EMG) signals. With the appropriate choice of the wavelet function and the selection of the suitable decomposition level, it's possible to remove interference noise effectively. Signal to Noise Ratio (SNR) values are calculated to evaluate the global performance of noise reduction. Results show that wavelet function db4 at three level of decomposition performs denoising best out of the other wavelets. Furthermore, a comparative analysis using the band-pass Butterworth filter demonstrates the superior denoising performance of the proposed algorithm.

引用

页码：101 / 103

页数：3

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