A high performance compression algorithm for ECG with irregular periods
Resource
Biomedical Circuits and Systems, 2004 IEEE International Workshop on
Journal
Biomedical Circuits and Systems, 2004 IEEE International Workshop on
Pages
-
Date Issued
2004-12
Date
2004-12
Author(s)
Chou, Hsiao-Hsuan
Chen, Ying-Jui
Shiau, Yu-Chien
Kuo, Te-Son
DOI
N/A
Abstract
Electrocardiogram (ECG) signals have both intra- and inter-beat correlations, which can be exploited for compression by arranging the ECG signals into appropriate two-dimensional (2-D) representations. In this paper, we propose a novel approach that maps 1-D ECG signals to 2-D arrays effectively and then compresses the 2-D arrays with efficient image compression algorithms. Compared to existing 2-D ECG compression methods, the proposed algorithm is unique in that it reveals much more intra- and inter-beat correlation characteristic of ECG signals. Therefore, the image compression algorithms can achieve enhanced performance. Furthermore, unlike existing 2-D ECG compression methods, the proposed algorithm works well for both regular and irregular ECG signals with extremely varying periods. In particular, its performance is insensitive to QRS miss detection cases.
Type
journal article
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