Literature DB >> 9835190

A wavelet transform-based ECG compression method guaranteeing desired signal quality.

J Chen1, S Itoh.   

Abstract

This paper presents a new electrocardiogram (ECG) compression method based or orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity.

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Year:  1998        PMID： 9835190     DOI： 10.1109/10.730435

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN： 0018-9294            Impact factor:   4.538


  5 in total

1.  Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors.

Authors:  N Sriraam
Journal:  Int J Telemed Appl       Date:  2011-07-03

2.  Reference signal extraction from corrupted ECG using wavelet decomposition for MRI sequence triggering: application to small animals.

Authors:  Dima Abi-Abdallah; Eric Chauvet; Latifa Bouchet-Fakri; Alain Bataillard; André Briguet; Odette Fokapu
Journal:  Biomed Eng Online       Date:  2006-02-20       Impact factor: 2.819

Review 3.  A Comparative Analysis of Methods for Evaluation of ECG Signal Quality after Compression.

Authors:  Andrea Němcová; Radovan Smíšek; Lucie Maršánová; Lukáš Smital; Martin Vítek
Journal:  Biomed Res Int       Date:  2018-07-18       Impact factor: 3.411

4.  Adaptive Sampling of the Electrocardiogram Based on Generalized Perceptual Features.

Authors:  Piotr Augustyniak
Journal:  Sensors (Basel)       Date:  2020-01-09       Impact factor: 3.576

5.  Biosignal Compression Toolbox for Digital Biomarker Discovery.

Authors:  Brinnae Bent; Baiying Lu; Juseong Kim; Jessilyn P Dunn
Journal:  Sensors (Basel)       Date:  2021-01-13       Impact factor: 3.576
  5 in total

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