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IEEE Trans Biomed Eng · Jun 2005
Comparative StudyA 2-D ECG compression method based on wavelet transform and modified SPIHT.
- Shen-Chuan Tai, Chia-Chun Sun, and Wen-Chien Yan.
- Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan, R.O.C. sctai@mail.ncku.edu.tw
- IEEE Trans Biomed Eng. 2005 Jun 1; 52 (6): 999-1008.
AbstractA 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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