Abstract
In this paper, wavelet decomposition tree and wavelet-domain Wiener filtering techniques are applied on ECG signals for denoising and their denoising performance is compared. Wavelet-domain Wiener filtering has affected some of the basic features of ECG signal and original characteristics have been removed besides the noise. On the other hand, the denoised signal by wavelet decomposition technique keeps much more characteristics of the original ECG signal. This paper presents the comparison by performing denoising simulations of noisy ECG signals.
Keywords
Noise reduction
Wavelet
Wiener filter
Pattern recognition (psychology)
Computer science
Artificial intelligence
Wavelet transform
SIGNAL (programming language)
Wavelet packet decomposition
Second-generation wavelet transform
Noise (video)
Stationary wavelet transform
Discrete wavelet transform
Speech recognition
Image (mathematics)
Subject Areas
ECG Monitoring and Analysis
·Cardiology and Cardiovascular Medicine ·Health Sciences
Image and Signal Denoising Methods
·Computer Vision and Pattern Recognition ·Physical Sciences
Phonocardiography and Auscultation Techniques
·Pulmonary and Respiratory Medicine ·Health Sciences
Citations by Year
2014: 1
2015: 1
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