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 Article
Wavelet Compression of ECG Signals Using SPIHT Algorithm
TL;DR: In this paper, a wavelet transform with a modified version of the set partitioning in hierarchical trees (SPIHT) coding algorithm was used for ECG data compression and the results showed the high efficiency of this method in ECG compression.
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Quality driven gold washing adaptive vector quantization and its application to ECG data compression
Shaou-Gang Miaou,Heng-Lin Yen +1 more
TL;DR: An algorithm is proposed that allows us to assign an initial dth arbitrarily and then automatically progress toward a desired dth according to a specified quality criterion, such as the percent of root mean square difference (PRD) for electrocardiogram (ECG) signals.
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Wavelet-Based Watermarking and Compression for ECG Signals with Verification Evaluation
TL;DR: A new idea of integrating electrocardiogram watermarking and compression approach, which has never been researched before, is proposed and the final results show that the algorithm is robust and feasible.
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Beat-based ECG compression using gain-shape vector quantization
Chia-Chun Sun,Shen-Chuan Tai +1 more
TL;DR: An electrocardiogram (ECG) data compression scheme is presented using the gain-shape vector quantization, and both visual quality and the objective quality are excellent even in low bit rates.
Journal ArticleDOI
A Novel ECG Data Compression Method Based on Nonrecursive Discrete Periodized Wavelet Transform
TL;DR: A novel electrocardiogram (ECG) data compression method with full wavelet coefficients is proposed, based on the reversible round-off nonrecursive one-dimensional discrete periodized wavelet transform (1-D NRDPWT), which performs overall stages decomposition with minimum register word length and resists truncation error propagation.
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