DocumentCode
2904920
Title
A wavelet footprints-based compression scheme for ECG signals
Author
Wei, Ho Tatt ; Jeoti, Varun
Author_Institution
Universiti Teknologi Petronas, Tronoh, Malaysia
Volume
A
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
283
Abstract
Herein, an ECG compression scheme is proposed, which is based on the wavelet footprint representation of ECG signals [Ho Tatt Wei and Varun Jeoti, July 2004] in combination with some signal preprocessing, linear quantization and Huffman coding. Experiments conducted on selected records of the MTT-BlH Arrythmia database indicate that compression ratios of about 10x are achievable with average PRD of 0.8450%.
Keywords
Huffman codes; data compression; electrocardiography; medical signal processing; quantisation (signal); signal representation; wavelet transforms; ECG signal; Huffman coding; linear quantization; signal preprocessing; wavelet footprint representation; wavelet footprints-based compression scheme; Discrete wavelet transforms; Electrocardiography; Extrapolation; Medical diagnostic imaging; Polynomials; Probability distribution; Quantization; Signal generators; Wavelet coefficients; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414412
Filename
1414412
Link To Document