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2-D Compression of ECG Signals Using ROI Mask and Conditional Entropy Coding

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3 Author(s)
Boqiang Huang ; Dept. of Electron. Eng., Fudan Univ., Shanghai ; Yuanyuan Wang ; Jianhua Chen

A novel 2-D compression scheme of ECG signals is proposed, which employs 1-D discrete wavelet transform, the region of interest mask, and the conditional entropy coding based on context models. Experimental results on records selected from the Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database show that the proposed method outperforms some existing compression schemes.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:56 ,  Issue: 4 )