Classification of Cardiac Arrhythmias


  • Miguel Ángel Ruiz Jaimes Universidad Politécnica del Estado de Morelos
  • Jorge Alarcón Álvarez Universidad Politécnica del Estado de Morelos
  • Juan José Flores Sedano Centro Nacional de Investigación y Desarrollo Tecnológico
  • Jorge A. Ruiz-Vanoye Universidad Politécnica de Pachuca
  • Yadira Toledo-Navarro Universidad Politécnica del Estado de Morelos
  • Eric Simancas-Acevedo Universidad Politécnica de Pachuca
  • Francisco Rafael Trejo-Macotela Universidad Politécnica de Pachuca
  • Marco Antonio Vera-Jiménez Universidad Politécnica de Pachuca



electrocardiogram, Cardiovascular diseases


Cardiovascular diseases (CVD) are one of the leading causes of mortality worldwide. In this context, the design of accurate and efficient methods for the automated classification of electrocardiogram (ECG) signals is essential for clinical diagnosis, particularly in the detection of cardiac arrhythmias. The main objective of this project is to develop an automated classification system for cardiac arrhythmias using electrocardiogram signals. To carry out this project, the iterative cascade methodology was used, which allows modifications and improvements to be made in each development iteration. The interview technique was used to collect the project requirements, which allowed obtaining detailed and precise information on the needs and expectations of the client.




How to Cite

Ruiz Jaimes , M. Ángel, Alarcón Álvarez , J., Flores Sedano, J. J., Ruiz-Vanoye, J. A., Toledo-Navarro, Y., Simancas-Acevedo, E., Trejo-Macotela, F. R., & Vera-Jiménez , M. A. (2023). Classification of Cardiac Arrhythmias. International Journal of Combinatorial Optimization Problems and Informatics, 14(3), 3–15.




Most read articles by the same author(s)

1 2 3 > >>