Title :
2-D Compression of ECG Signals Using ROI Mask and Conditional Entropy Coding
Author :
Huang, Boqiang ; Wang, Yuanyuan ; Chen, Jianhua
Author_Institution :
Dept. of Electron. Eng., Fudan Univ., Shanghai
fDate :
4/1/2009 12:00:00 AM
Abstract :
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.
Keywords :
data compression; discrete wavelet transforms; electrocardiography; entropy codes; medical information systems; medical signal processing; 1D discrete wavelet transform; 2D ECG signal compression; Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database; conditional entropy coding; region of interest mask; Context modeling; Discrete wavelet transforms; Electrocardiography; Entropy coding; Frequency; Heart beat; Image coding; Image reconstruction; Information science; Sorting; Streaming media; Two dimensional displays; Conditional entropy coding; ECG compression; context models; region of interest (ROI) mask; Algorithms; Data Compression; Electrocardiography; Entropy; Models, Cardiovascular;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2008.2009643
