Literature DB >> 15869896

On the use of PRD and CR parameters for ECG compression.

Manuel Blanco-Velasco1, Fernando Cruz-Roldán, J Ignacio Godino-Llorente, Joaquín Blanco-Velasco, Carlos Armiens-Aparicio, Francisco López-Ferreras.   

Abstract

The quality measurement of the reconstructed signal in an electrocardiogram (ECG) compression scheme must be obtained by objective means being the percentage root-mean-square difference (PRD) the most widely used. However, this parameter is dependent on the dc level so that confusion can be stated in the evaluation of ECG compressors. In this communication, it will be shown that if the performance of an ECG coder is evaluated only in terms of quality, considering exclusively the PRD parameter, incorrect conclusions can be inferred. The objective of this work is to propose the joint use of several parameters, as simulations will show, effectiveness and performance of the ECG coder are evaluated with more precision, and the way of inferring conclusions from the obtained results is more reliable.

Mesh:

Year:  2005        PMID: 15869896     DOI: 10.1016/j.medengphy.2005.02.007

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  5 in total

1.  Wavelet-based Encoding Scheme for Controlling Size of Compressed ECG Segments in Telecardiology Systems.

Authors:  Asiya M Al-Busaidi; Lazhar Khriji; Farid Touati; Mohd Fadlee Rasid; Adel Ben Mnaouer
Journal:  J Med Syst       Date:  2017-09-12       Impact factor: 4.460

2.  An Integrated Approach Using Chaotic Map & Sample Value Difference Method for Electrocardiogram Steganography and OFDM Based Secured Patient Information Transmission.

Authors:  Anukul Pandey; Barjinder Singh Saini; Butta Singh; Neetu Sood
Journal:  J Med Syst       Date:  2017-10-18       Impact factor: 4.460

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.  Effective high compression of ECG signals at low level distortion.

Authors:  Laura Rebollo-Neira
Journal:  Sci Rep       Date:  2019-03-14       Impact factor: 4.379

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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