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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. >

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Proceedings ArticleDOI

Computationally efficient ECG compression scheme using a non-linear quantizer

TL;DR: A data reduction technique is proposed for the compression of ECG signals that allows the maintenance of good resolution in selected parts of the EGG, for which the non-linear quantizer has been developed while the entropy of the signal is reduced.
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Ecg signal coding using biorthogonal wavelet-based burrows–wheeler coder

TL;DR: Experimental results show that this coder outperforms other coders such as Djohn, EZW, SPIHT, Novel algorithm etc. that exist in the literature in terms of coding efficiency and computation.
Proceedings ArticleDOI

On the improved correlative prediction scheme for aliased electrocardiogram (ECG) data compression

TL;DR: An improved scheme for aliased electrocardiogram (ECG) data compression has been constructed, where the predictor exploits the correlative characteristics of adjacent QRS waveforms, to achieve lower distortion rates with realizable compression ratio (CR).
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A Review of Recent Advances and Future Developments in Fetal Phonocardiography

TL;DR: In this paper , the state-of-the-art methods used for fPCG signal extraction and processing, as well as means of detection and classification of various features defining fetal health state are presented.
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On the compression of ECG records employing triangular elements and analysis-by-synthesis modeling

TL;DR: Non-traditional coding of ECG signals using greedy decompositions is analyzed, providing a flexible signal model rather than just a plain waveform coding or the coarse-detail approximation model of wavelet based compression systems.
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