A 2-D ECG compression method based on wavelet transform and modified SPIHT

Shen Chuan Tai; Chia Chun Sun; Wen Chien Yan

doi:10.1109/TBME.2005.846727

A 2-D ECG compression method based on wavelet transform and modified SPIHT

Shen Chuan Tai, Chia Chun Sun, Wen Chien Yan

Institute of Computer and Communication Engineering

Research output: Contribution to journal › Article › peer-review

91 Citations (Scopus)

Abstract

A two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression method is presented which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm. This modified SPIHT algorithm utilizes further the redundancy among medium- and high-frequency subbands of the wavelet coefficients and the proposed 2-D approach utilizes the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. An ECG signal is cut and aligned to form a 2-D data array, and then 2-D wavelet transform and the modified SPIHT can be applied. Records selected from the MIT-BIH arrhythmia database are tested. The experimental results show that the proposed method achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.

Original language	English
Pages (from-to)	999-1008
Number of pages	10
Journal	IEEE Transactions on Biomedical Engineering
Volume	52
Issue number	6
DOIs	https://doi.org/10.1109/TBME.2005.846727
Publication status	Published - 2005 Jun 1

All Science Journal Classification (ASJC) codes

Biomedical Engineering

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title = "A 2-D ECG compression method based on wavelet transform and modified SPIHT",

abstract = "A two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression method is presented which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm. This modified SPIHT algorithm utilizes further the redundancy among medium- and high-frequency subbands of the wavelet coefficients and the proposed 2-D approach utilizes the fact that ECG signals generally show redundancy between adjacent beats and between adjacent samples. An ECG signal is cut and aligned to form a 2-D data array, and then 2-D wavelet transform and the modified SPIHT can be applied. Records selected from the MIT-BIH arrhythmia database are tested. The experimental results show that the proposed method achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.",

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AU - Tai, Shen Chuan

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AU - Yan, Wen Chien

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