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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Journal ArticleDOI
A low-complexity intracardiac electrogram compression algorithm
R.J. Coggins,M.A. Jabri +1 more
TL;DR: A data-compression algorithm is described which has been optimized for low power consumption and high reliability implementation and is compared to alternative compression algorithms which are also patient independent using a subset of VT arrhythmias from a data base of 146 patients.
Journal ArticleDOI
Vector quantization as a method for integer EMG signal compression.
TL;DR: The results show that mean residual vector quantization with short segments is a workable approach for EMG signal compression.
Wireless Body Area Networks for Healthcare: A Feasibility Study
Bo Yu,Liuqing Yang +1 more
TL;DR: The purpose of this feasibility study is to introduce wireless body area networks and also give an understanding of what possibilities and challenges there are when using short range wireless communications in this domain.
Journal ArticleDOI
ANN compression of morphologically similar ECG complexes
TL;DR: A compression algorithm for electrocardiogram signals is presented, based on an auto-associative neural network, with a unique feature is the performance improvement achieved using DC level removal.
Proceedings ArticleDOI
Electrocardiogram synthesis using Gaussian and fourier models
TL;DR: A morphological modeling method of single lead ECG by two different approaches, viz., Fourier and Gaussian models, showed better reconstruction performance, but less memory efficient compared to the Gaussian model.
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