NDLI: Wavelet-based hybrid ECG compression technique

Content Provider	Springer Nature Link
Author	Xingyuan, Wang Juan, Meng
Copyright Year	2009
Abstract	In this paper, a new wavelet-based hybrid electrocardiogram (ECG) data compression technique is proposed. Firstly, in order to fully utilize the two correlations of heartbeat signals, 1-D ECG data are segmented and aligned to a 2-D data arrays. Secondly, 2-D wavelet transform is applied to the constructed 2-D data array. Thirdly, the set partitioning hierarchical trees (SPIHT) method and the vector quantization (VQ) method are modified, according to the individual characteristic of different coefficient subband and the similarity between the subbands. Finally, a hybrid compression method of the modified SPIHT and VQ is employed to the wavelet coefficients. Records selected from the MIT/BIH arrhythmia database are tested. The experimental results show that the proposed method is suitable for various morphologies of ECG data, and that it achieves high compression ratio with the characteristic features well preserved.
Starting Page	301
Ending Page	308
Page Count	8
File Format	PDF
ISSN	09251030
Journal	Analog Integrated Circuits and Signal Processing
Volume Number	59
Issue Number	3
e-ISSN	15731979
Language	English
Publisher	Springer US
Publisher Date	2009-01-17
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wavelet transform Electrocardiogram (ECG) compression Set partitioning hierarchical trees (SPIHT) Vector quantization (VQ) Signal, Image and Speech Processing Electrical Engineering Circuits and Systems
Content Type	Text
Resource Type	Article
Subject	Surfaces, Coatings and Films Signal Processing Hardware and Architecture

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