Fuzzy multiwavelet denoising on an ECG signal

Ling, Wing-Kuen, Ho, Charlotte Yuk-Fan, Wong, Pak-Lin , Chan, Albert Yick-Po and Tam, Peter Kwong-Shun (2003) Fuzzy multiwavelet denoising on an ECG signal. Electronics Letters, 39 (16). pp. 1163-1164. ISSN 1013-5194

Full content URL: http://dx.doi.org/10.1049/el:20030757

letter_FB_fuzzy_multiwavelet.pdf - Whole Document

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Since different multiwavelets, pre- and post-filters have different impulse and frequency responses characteristics, different multiwavelets, pre- and post-filters should be selected, integrated and applied at different noise levels if a signal is corrupted by an additive white Gaussian noise (AWGN). In this letter, some fuzzy rules on selecting and integrating different multiwavelets, pre- and post-filters together are proposed. These fuzzy rules are setup 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, we found that our proposed fuzzy rule-based multiwavelet denoising algorithm achieves 30% improvement compared to the traditional multiwavelet denoising algorithms.

Additional Information:(c) 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Keywords:fuzzy, multiwavelets, electrocardiogram, denoising
Subjects:H Engineering > H610 Electronic Engineering
Divisions:College of Science > School of Engineering
ID Code:3067
Deposited On:29 Jul 2010 10:00

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