2-D compression of ECG signals using ROI mask and conditional entropy coding.
Where this comes from
- Record sourced from PubMed, PMID 19272868.
- Also identified by DOI 10.1109/TBME.2008.2009643.
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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.
Medical subject headings
- Data Compression
- Electrocardiography