Procesamiento y análisis de señales electrocardiográficas (ECG)

Ivonne Nataly  Martínez Toro; Paola Andrea  Mateus Abaunza

doi:10.22490/25394088.6496

Vol. 16 No. 4 (2022): Edición especial Expotech

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2022-10-20

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Signal processing and analysis of electrocardiografic signals (ECG)

DOI: https://doi.org/10.22490/25394088.6496

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Original article

Ivonne Nataly Martínez Toro Universidad Nacional Abierta y Distancia - UNAD

Paola Andrea Mateus Abaunza Universidad Nacional Abierta y Distancia - UNAD

For the detection of cardiovascular disorders known as arrhythmias, an algorithm is designed for analyzing electrocardiographic signals in Matlab that enables the preprocessing of information provided from the 'PTB Diagnostic ECG Database v1.0.0', which is free for use on the PhysioNet site.

First, information is restricted only to reading the V3 and V4 ventricles, which provides information related to myocardial problems. The use of the Gabor Wavelet transform can corroborate the data of the spectrum in frequency, visualizing the scalograms of each ventricle. Afterwards, a band-pass filter (FPB) is applied to delete the data acquired by the electrocardiogram, known as the baseline or isoelectric line.

Finally, the addition of the Pan-Tompkins algorithm allows the detection of QRS complexes, which are studied to depict ventricular depolarization or electrical stimulation.

Signal analysis, QRS complexes, Electrocardiogram, Digital signal processing

J. Lorenzo Romero, “Análisis de señales electrocardiográficas usando técnicas de procesamiento digital”, Trabajo fin de carrera, Universitat Oberta de Catalunya, Catalunya, 2015. Consultado: el 19 de mayo de 2022. [En línea]. Disponible en: http://openaccess.uoc.edu/webapps/o2/handle/10609/40186

A. Maggio, M. Bonomini, E. Laciar, y P. Arini, “Quantification of Ventricular Repolarization Dispersion Using Digital Processing of the Surface ECG”, 2012. doi: 10.5772/23050.

“Derivaciones Cardiacas, significado”. https://www.my-ekg.com/generalidades-ekg/derivaciones-cardiacas.html (consultado el 13 de junio de 2022).

C. A. Teixeira et al., “EPILAB: a software package for studies on the prediction of epileptic seizures”, J Neurosci Methods, vol. 200, núm. 2, pp. 257–271, sep. 2011, doi: 10.1016/j.jneumeth.2011.07.002.

Martínez Toro , I. N. ., & Mateus Abaunza , P. A. . (2022). Signal processing and analysis of electrocardiografic signals (ECG). Publicaciones E Investigación, 16(4). https://doi.org/10.22490/25394088.6496

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Signal processing and analysis of electrocardiografic signals (ECG)

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