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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. >

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Citations
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Journal ArticleDOI

ECG Compression using Decomposed Transform for E-Healthcare

TL;DR: In this article , the authors have taken an approach to compress the cardiac signal for effective communication, which is suitable for the application and has been verified for e-healthcare systems.
Book ChapterDOI

Feature Extraction of Hidden Oscillation in ECG Data via Multiple-FOD Method

TL;DR: Evaluated the performance of multiple-FOD in different types of simulated datasets which have distinct sample sizes, percentage of outliers and distinct hidden patterns based on real electrocardiogram (ECG) data.
Proceedings ArticleDOI

ECG compression based on wavelet transform and context modeling arithmetic coding

TL;DR: Experiments on several records from the MIT-BIH arrhythmia database showed that the proposed coding algorithm outperforms other well-known wavelet-based ECG compression algorithms.
Proceedings ArticleDOI

Successive partition zero coder for embedded lossless wavelet-based EGC signal coding [EGC read ECG]

TL;DR: Successive partition zero coder (SPZC) for embedded loss less wavelet based ECG signal coding which use both horizontal and vertical bit scanning is proposed and experimental results show that SPZC outperforms than other coders such as EZW, SPIHT, LZC, etc. in terms of coding efficiency.
References
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Journal ArticleDOI

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Journal ArticleDOI

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Proceedings ArticleDOI

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