文章基本信息

标题：Comparison of Non Local Means Filtering with Wavelet Transform Technique for Denoising ECG signal
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作者：Navneet Kaur ; Neetu
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：8
页码：7052
DOI：10.15680/IJIRSET.2015.0408048
出版社：S&S Publications
摘要：Digital filters are a very important part of digital signal processing, especially for biomedical signalprocessing. In fact, their extraordinary performance is one of the key reasons that signal processing has become sopopular. Digital filters have two primary functions: signal separation and signal restoration. Signal separation is neededwhen a signal has been contaminated with interference, noise, or other undesirable signals. In this work, two methods,that is, wavelet and non local means (NLM) filtering technique is explored for denoising the ECG signal. The noisyECG signal is synthesized by adding pulse signals and is then denoised at different levels by optimising differentparameters. The experimental results showed that the proposed techniques successfully denoised the noisy ECG signalsby selecting appropriate input parameters. Finally, the peak signal to noise ratio (PSNR) and mean square error (MSE)were also evaluated to compare the performance of both evaluated methods.
关键词：ECG signals; non-local filtering; wavelet technique; denoising.