Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60467
Title: Fuzzy multiwavelet denoising on ECG signal
Authors: Ho, CYF
Ling, BWK
Wong, TPL
Chan, AYP
Tam, PKS
Issue Date: 2003
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2003, v. 39, no. 16, p. 1163-1164 How to cite?
Journal: Electronics letters 
Abstract: Since different multiwavelets, pre- and post-filters, have different impulse and frequency response characteristics, different multiwavelets, preand post-filters, should be selected, integrated and applied at different noise levels if a signal is corrupted by an additive white Gaussian noise (AWGN). Some fuzzy rules on selecting and integrating different multiwavelets, pre- and post-filters together, are proposed. These fuzzy rules are set up based on the training results of the denoising performances of applying different multiwavelets, pre- and post-filters, at different noise levels. When a new electrocardiogram (ECG) signal is applied, the appropriate multiwavelets, pre- and post-filters, are selected and integrated based on fuzzy rules and the noise level of the signal. A hard thresholding is applied on the multiwavelet coefficients. According to an extensive simulation, it was found that the proposed fuzzy rule-based multiwavelet denoising algorithm achieves 30% improvement compared to traditional multiwavelet denoising algorithms.
URI: http://hdl.handle.net/10397/60467
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el:20030757
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