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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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Citations
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Journal ArticleDOI

Wavelet transforms and the ECG: a review.

TL;DR: In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.
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Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

TL;DR: This paper quantifies the potential of the emerging compressed sensing (CS) signal acquisition/compression paradigm for low-complexity energy-efficient ECG compression on the state-of-the-art Shimmer WBSN mote and shows that CS represents a competitive alternative to state- of- the-art digital wavelet transform (DWT)-basedECG compression solutions in the context of WBSn-based ECG monitoring systems.
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Recommendations for the Standardization and Interpretation of the Electrocardiogram

TL;DR: This statement examines the relation of the resting ECG to its technology to establish standards that will improve the accuracy and usefulness of the ECG in practice and to recommend recommendations for ECG standards.
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Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
References
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Journal ArticleDOI

Alternatives in digital communications

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Compact digital storage of ECGs

TL;DR: It is concluded that MMSE predictors are to be preferred only in the case when the ECG is oversampled (i.e., the sampling rate is much higher than twice the cut-off frequency of the presampling filter).
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Entropy Coded Differential Pulse-Code Modulation Systems for Television

TL;DR: This concise paper describes experiments with a television source encoder which consists of a differential PCM encoder followed by entropy coding and has the desirable property that it produces low noise in quiet areas of the picture and higher noise in busy areas ofThe picture.
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Data compression techniques and applications

TL;DR: Some of the considerations and comparison criteria presented, even though not completely general because extracted from experimental results, can be useful in selecting and defining the more pertinent data compression system for the different practical applications.
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Analysis and Subjective Evaluation of Differential Pulse-Code Modulation Voice Communication Systems

TL;DR: The mean-square error for DPCM systems is derived, and its minimization by proper choice of system variables is examined, and a method is developed for measuring the subjective quality of voice communication systems as a function of an arbitrary number of system parameters.
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