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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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Journal ArticleDOI

On lossy transform compression of ECG signals with reference to deformation of their parameter values.

TL;DR: It is found that ECG signals sampled at 400 Hz could be compressed to one fourth of their original storage space, but the values of their medical parameters changed less than 5% due to compression, which indicates reliable results.
Proceedings ArticleDOI

Wrist-located pulse detection using IR reflection due to pulse added volume of arterial blood

TL;DR: In this article, a real-time arterial pulse measurement by a variable reflection beam due to pulse added volume of arterial blood is presented, where an LED and photo diode are used as radiator and receiver, respectively.
Journal Article

A New Technique for Progressive ECG Transmission using Discrete Radon Transform

TL;DR: A new method which can be used for progressive transmission of electrocardiogram (ECG) using a discrete version of Radon Transform (DRT), which leads to transmit the most significant energy of the transformed image in Radon domain.
Journal ArticleDOI

Improving storage efficiency of vector quantization codebook for physiological quasi-periodic signals

TL;DR: This paper explores the codebook (CB) redundancy in order to increase storage efficiency for physiological quasi-periodic signals and proposes a quantitative CB redundancy measure and two redundancy reducing algorithms.

Ecg recorder sampling at the variable rate

TL;DR: This paper discusses practical aspects of implementation of the signal-dependent adjustable subband coding in a real-world portable long-term digital recorder and the methodological consequences of the use of the fixed-point data representation.
References
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