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

Shen-Chuan Tai·Chia-Chun Sun·Wen-Chien Yan
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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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AlgorithmsArrhythmias, CardiacData CompressionDatabase Management SystemsDatabases, FactualDiagnosis, Computer-AssistedElectrocardiographyHumansMedical Records Systems, ComputerizedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedComparative StudyEvaluation StudyJournal ArticleValidation Study

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BibTeXRIS

Shen-Chuan Tai, Chia-Chun Sun, Wen-Chien Yan. 2005. A 2-D ECG compression method based on wavelet transform and modified SPIHT.. https://doi.org/10.1109/tbme.2005.846727

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