Paper Info
Title
Multiscale Entropy-Based Weighted Distortion Measure for ECG Coding
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.
Year
DOI
Venue
2008
10.1109/LSP.2008.2007620
Signal Processing Letters, IEEE
Keywords
Field
DocType
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,Electrocardiogram,PRD,WWPRD,multiscale entropy,wavelet energy,wavelet energy-based diagnostic distortion (WEDD),weighted distortion measure
Mathematical optimization,Multiscale entropy,Pattern recognition,Coding (social sciences),Root mean square,Artificial intelligence,Data compression,Distortion,Mathematics
Journal
Volume
ISSN
Citations 
15
1070-9908
7
PageRank 
References 
Authors
0.75
7
2
Name
Order
Citations
PageRank
M. Sabarimalai Manikandan118420.80
S. Dandapat226128.51