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

Shen Chuan Tai, Chia Chun Sun, Wen Chien Yan

Research output: Contribution to journalArticlepeer-review

108 Citations (Scopus)


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 languageEnglish
Pages (from-to)999-1008
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Issue number6
Publication statusPublished - 2005 Jun

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering


Dive into the research topics of 'A 2-D ECG compression method based on wavelet transform and modified SPIHT'. Together they form a unique fingerprint.

Cite this