Compression of ECG data by vector quantization

被引：18

作者：

Wang, BH

Yuan, GX

机构：

[1] Dept. of Biomedical Engineering, Shanghai University

[2] Program of Biomedical Engineering, Shanghai Univ. of Sci. and Technol.

[3] Committee Board, URSI Commission K

[4] Chinese Committee, URSI-K

[5] Tsinghua University, Beijing

[6] Dept. of Biomedical Engineering, Shanghai University

来源：

IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 04期

关键词：

D O I：

10.1109/51.603644

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The estimation of the electrocardiography (ECG) rate distortion curve and compression of the ECG signals by finite-state vector quantization (FSVQ) are discussed. The FSVQ efficiently compresses the ECG signals with low average distortion. However, the FSVQ cannot reduce the relatively large distortion of the QRS complex. To overcome this limitation, a modified FSVQ scheme is developed. The modified scheme increases data rate and number of computations, and lowers distortion without distorting the QRS complex.

引用

页码：23 / 26

页数：4

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