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
Link To Document :
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