DocumentCode
998543
Title
Multiscale Entropy-Based Weighted Distortion Measure for ECG Coding
Author
Manikandan, M. Sabarimalai ; Dandapat, S.
Author_Institution
Dept. of Electron. & Commun. Eng., Indian Inst. of Technol. Guwahati, Guwahati
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
829
Lastpage
832
Abstract
In this letter, a novel objective distortion measure is proposed for compressed electrocardiogram (ECG) signals. The measure is a weighted percentage root-mean-square difference (WPRD) between the subband coefficients of the original and compressed signals with weights equal to the multiscale entropies of the corresponding subbands. The measure appears to be a correct representation of the amount of signal distortion at all the subbands. Experiments show that the measure works better than the other existing measures and correlates well with the subjective assessments.
Keywords
data compression; distortion; electrocardiography; entropy codes; least mean squares methods; medical signal processing; signal representation; ECG coding; compressed electrocardiogram signal; multiscale entropy-based weighted distortion measure; signal representation; subband coefficient; weighted percentage root-mean-square difference method; Chromium; Distortion measurement; Electrocardiography; Energy measurement; Entropy; Frequency estimation; Noise measurement; Quality control; Testing; Weight measurement; Electrocardiogram; PRD; WWPRD; multiscale entropy; wavelet energy; wavelet energy-based diagnostic distortion (WEDD); weighted distortion measure;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2008.2007620
Filename
4682557
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