General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2015 Vol.7(5): 366-373 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.987

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

Manuel M. Casas, Roberto L. Avitia, Alexandra Gomez-Caraveo, Marco A. Reyna, and Jose A. Cardenas-Haro

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.

Index Terms—ECG trace, amplitude variability, time variability, ECG parameters.

Manuel M. Casas is with the Mexican-European Institute of Sciences, Mexicali, ZP 21100, Mexico (e-mail: manuel.martinez.casas@gmail.com).
Roberto L. Avitia, Alexandra Gomez, Marco A. Reyna, and Jose A. Cardenas-Haro are with the Department of Bioengineering and Environmental Health, Autonomous University of Baja California, Mexicali, ZP 21100, Mexico (e-mail: ravitia@uabc.edu.mx).

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Cite: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.


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