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. >read more
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Journal ArticleDOI
Comparison between transforms a behavior qualitative analysis of various biomedical signals
Jose Vigno Moura Sousa,Vilson R. Almeida,Arata Andrade Saraiva,Felipe Miranda de Jesus Castro,D. B. S. Santos,Pedro Mateus Cunha Pimentel +5 more
TL;DR: The results of this work was satisfactory to prove that different types of compression can be used on signals to achieve better results.
Proceedings ArticleDOI
A Lossless Characteristic Compression Method for Continuous Arterial Pulse Waveforms
TL;DR: In this article, a spline function is used to interpolate the original waveform at preselected sample points first and then a second stage compression is accompanied by using 12-bit digital data representation to store sample points and coefficients for each interval.
Journal Article
Modeling and segmentation ofecg signals through chebyshevpolynomials
Om Prakash Yadav,Shashwati Ray +1 more
TL;DR: Polynomial approximation which is a form of parameter extraction method, is employed here and implemented on a standard ECG signal with a Chebyshev polynomial of order 100 with a maximum error less than 0.1.
Wavelet Based Encoder/Decoder for Compression of ECG Signal
TL;DR: Three compression algorithms are presented for signal compression of ECG samples using EZW, modified embedded zerotree wavelet (EZW), and MEZW methods.
References
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