International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

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CiteScore

IJIET 2015 Vol.7(5): 366-373
doi: 10.7763/IJCTE.2015.V7.987

A Complete Study of Variability in Time and Amplitude of a Standard ECG Database

Manuel M. Casas1 , Roberto L. Avitia2 , Alexandra Gomez-Caraveo , Marco A. Reyna2 , Jose A. Cardenas-Haro2

  • 1Mexican-European Institute of Sciences, Mexicali, ZP 21100, Mexico.
  • 2Department of Bioengineering and Environmental Health, Autonomous University of Baja California, Mexicali, ZP 21100, Mexico.

Abstract

Currently the Electrocardiogram (ECG) is still an important and conventional tool that represents a pre-diagnosis system in a wide variety of heart diseases. Conventional Electrocardiography pre-diagnosis is based on time variations and ECG waveforms characteristics. Because of this, there are many studies and tables that describe time variations as heart healthy patterns, but there are almost no waveform amplitude variation studies that describe heart healthy patterns in an ECG trace. We reported here a complete evaluation of time and amplitude variations described by a very used ECG database called The PTB Diagnostic ECG Database. In order to measure ECG waveforms patterns in time and amplitude, we used a slightly modified and classic algorithm developed by Pan and Tompkins, as wells as a proposed method based on wavelets. Results show complete descriptive tables that represent a heart-healthy subject both in time amplitude variations.

Keywords

  • ECG trace
  • amplitude variability
  • time variability
  • ECG parameters
987-A023

How to Cite

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Manuel M. Casas, Roberto L. Avitia, Alexandra Gomez-Caraveo, Marco A. Reyna, and Jose A. Cardenas-Haro, "A Complete Study of Variability in Time and Amplitude of a Standard ECG Database," International Journal of Computer Theory and Engineering, vol. 7, no. 5, pp. 366-373, 2015. https://doi.org/10.7763/IJCTE.2015.V7.987

Copyright & License

Copyright © 2015 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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