Cardiac Abnormalities Detection from Compressed ECG

Authors

  • Miguel Torres-Cisneros University of Guanajuato, Applied Physics and Advanced Technologies, Guanajuato
  • Rafael Guzman Cabrera University of Guanajuato, Applied Physics and Advanced Technologies, Guanajuato
  • S. Villalobos Centro de Investigaciones en Óptica, Guanajuato
  • Daniel Alberto May-Arrioja Centro de Investigaciones en Óptica, Aguascalientes
  • F. Martell Centro de Investigaciones en Óptica, Aguascalientes

DOI:

https://doi.org/10.13053/cys-23-1-3171

Keywords:

ECG automatic detection, QRS complex detection, RR segment

Abstract

In the aim of automatic detection of cardiac anomalies, in particular arrhythmias, we propose and design two algorithms for arrhythmias detection based on the energy of the ECG signal. Our results have shown that it is possible to obtain a prediction error as small as 0.66% when we use the overlapped windows method. Our algorithms can obtain this error analyzing 30 min signal length just in 12 s of processing time. Our results are faster and competitive if we compare them with those in the literature.

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Published

2019-03-24

Issue

Vol. 23 No. 1 (2019): Recent Advances in Optics and Photonics (Guest Editors: J. J. Sánchez Mondragón, M. Torres Cisneros, R. Guzmán Cabrera)

Section

Articles of the Thematic Issue

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