Journal ArticleDOI
ECG data compression techniques-a unified approach
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
Lossless ECG compression with lifting wavelet transform
TL;DR: A new algorithm for lossless ECG compression using lifting wavelet transform is presented, which is implemented in its integers to integers version, and thus quantization of wavelet coefficients and rounding of errors are avoided.
Journal ArticleDOI
Wavelet-based hybrid ECG compression technique
Wang Xingyuan,Meng Juan +1 more
TL;DR: The experimental results show that the proposed wavelet-based hybrid electrocardiogram data compression technique is suitable for various morphologies of ECG data, and that it achieves high compression ratio with the characteristic features well preserved.
Journal ArticleDOI
Optimisation algorithms for ECG data compression.
TL;DR: The proposed model resembles well-known network models and is solved by a cubic dynamic programming algorithm, which produces a compressed representation for which the distortion is about one-half of that obtained by traditional time-domain compression techniques at reasonable compression ratios.
Journal ArticleDOI
Electrocardiogram signal compression using singular coefficient truncation and wavelet coefficient coding
TL;DR: In this study, an inter- and intra-beat correlation-based compression technique for electrocardiogram (ECG) signal is proposed using singular coefficient truncation, based on singular value decomposition (SVD) and adaptive scanning wavelet difference reduction technique.
Proceedings ArticleDOI
Quality controlled ECG compression using Discrete Cosine transform (DCT) and Laplacian Pyramid (LP)
TL;DR: A new quality controlled Discrete Cosine transform (DCT) and Laplacian Pyramid based compression method for electrocardiogram (ECG) signal and results show that DCT gives better performance at low PRD.
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