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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. >

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Citations
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Proceedings ArticleDOI

On the choice of an electromyogram data compression method

TL;DR: The application of several compression methods to EMG data is studied: predictive linear methods, transform methods and, more specifically, methods based on the wavelet transform outperform the other compression methods.
Proceedings ArticleDOI

ECG data compression using the discrete cosine transform (DCT)

TL;DR: A quantization technique to better approximate the higher coefficients has been used to obtain an accurate representation of the signal and the tradeoffs between accuracy, speed, and compression ratio are discussed.
Patent

Compression method and device, decompression method and device, compression/decompression system, and recorded medium

TL;DR: In this paper, data to be compressed is differentiated for respective sampling points (S1-S20) and their absolute values are sequentially added to obtain differential total data (D1-D20).

ECG Compression with Thresholding of 2-D Wavelet Transform Coefficients and Run Length Coding

TL;DR: A new ECG compression method using 2-D wavelet transform, which uses RLC algorithm, because of it's good performance on compression and lower calculation complexity in comparison with other methods.
Journal ArticleDOI

An electrocardiogram signal compression techniques: a comprehensive review

TL;DR: This paper is a review of most promising algorithms of ECG compression with emphasis to wavelet-based ECG signal compression, and it is the observation that the wave let-based algorithms provide better compression performance.
References
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