Journal ArticleDOI
ECG data compression techniques-a unified approach
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TLDR
The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.Abstract:
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods. A framework for evaluation and comparison of ECG compression schemes is presented. >read more
Citations
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Proceedings ArticleDOI
Compression of Multilead Electrocardiogram Using Principal Component Analysis and Machine Learning Approach
TL;DR: A multi-lead Electrocardiogram (ECG) data compression using principal component analysis (PCA) combined with a machine learning technique is proposed to achieve a high compression ratio (CR) with low reconstruction error (within 2% percentage root mean squared difference, or, PRD).
Sensing ECG signals with variable pulse width finite rate of innovation
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Quality controlled ECG compression using essentially non-oscillatory point-value decomposition (ENOPV) technique
TL;DR: This paper presents an essentially non-oscillatory point-value (ENOPV) scheme based ECG compression, a combination of multiresolution scheme (analysis) and interpolation scheme (synthesis).
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Monitoring apparatus using wavelet transforms for the analysis of heart rhythms
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Quality Aware Compression of Electrocardiogram Using Principal Component Analysis
TL;DR: A quality aware compression method of single lead ECG is described using principal component analysis (PCA), which yields better results than recently published works on quality controlled ECG compression.
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