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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Journal ArticleDOI
Smart Compression for Telemedicine
TL;DR: A smart compression method based on the wavelet subbands arranging technique is proposed for telemedicine that can effectively reduce the large amount of transmitted data, and provide real-time analysis, and is capable of tuning the rate of compressed data.
Proceedings Article
Optimum wavelet transform-based ECG compression and dissimilarity measure based noise performance analysis
Mustafa Namdar,Lutfiye Durak +1 more
TL;DR: An optimum wavelet transform-based ECG compression technique is proposed and its noise performance analysis is investigated and two numerical metrics PRD and CR are used as the major performance evaluation parameters to analyze the results of the implemented method quantitatively.
Proceedings ArticleDOI
Compressing electrocardiogram signals using parameterized wavelets
TL;DR: A compression method, based on the choice of a wavelet that matches the electrocardiogram signal to be compressed, is proposed, and coding methods are applied to the retained coefficients in order to improve the compression.
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