Title
A linear quality control design for high efficient wavelet-based ECG data compression.
Abstract
In ECG data compression, maintaining reconstructed signal with desired quality is crucial for clinical application. In this paper, a linear quality control design based on the reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT) is proposed for high efficient ECG data compression. With the advantages of error propagation resistance and octave coefficient normalization, RRO-NRDPWT enables the non-linear quantization control to obtain an approximately linear distortion by using a single control variable. Based on the linear programming, a linear quantization scale prediction model is presented for the quality control of reconstructed ECG signal. Following the use of the MIT-BIH arrhythmia database, the experimental results show that the proposed system, with lower computational complexity, can obtain much better quality control performance than that of other wavelet-based systems.
Year
DOI
Venue
2009
10.1016/j.cmpb.2008.08.007
Computer Methods and Programs in Biomedicine
Keywords
DocType
Volume
linear distortion,linear quantization scale prediction,quality control,efficient wavelet-based ecg data,single control variable,linear programming,better quality control performance,ecg data compression,non-linear quantization control,linear quality control design,high efficient ecg data,prediction model,error propagation,data compression,linear program,computational complexity,wavelet transform
Journal
94
Issue
ISSN
Citations 
2
1872-7565
2
PageRank 
References 
Authors
0.40
7
4
Name
Order
Citations
PageRank
King-Chu Hung19914.60
Chin-Feng Tsai291.64
Cheng-Tung Ku3283.02
Huan-Sheng Wang4747.25