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 | |
| Publication status | Published - 2005 Jun 1 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
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A 2-D ECG compression method based on wavelet transform and modified SPIHT. / Tai, Shen Chuan; Sun, Chia Chun; Yan, Wen Chien.
In: IEEE Transactions on Biomedical Engineering, Vol. 52, No. 6, 01.06.2005, p. 999-1008.Research output: Contribution to journal › Article
TY - JOUR
T1 - A 2-D ECG compression method based on wavelet transform and modified SPIHT
AU - Tai, Shen Chuan
AU - Sun, Chia Chun
AU - Yan, Wen Chien
PY - 2005/6/1
Y1 - 2005/6/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=20444494962&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=20444494962&partnerID=8YFLogxK
U2 - 10.1109/TBME.2005.846727
DO - 10.1109/TBME.2005.846727
M3 - Article
C2 - 15977730
AN - SCOPUS:20444494962
VL - 52
SP - 999
EP - 1008
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
SN - 0018-9294
IS - 6
ER -