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Early Prediction Of Sudden Cardiac Death Using Fractal Dimension And Ecg Signals

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  • ROGELIO PIÑA-VEGA

    (Departments Biomedical, Faculty of Engineering, Autonomous University of Queretaro, Campus Aeropuerto, Carretera a Chichimequillas S/N, Ejido Bolaños, 76140 Santiago, de Querétaro, Qro., México)

  • MARTIN VALTIERRA-RODRIGUEZ

    (��ENAP-RG, CA Sistemas Dinámicos y Control, Departments Biomedical and Electromechanical, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Río, Río Moctezuma 249, Col. San Cayetano, C. P. 76807 San, Juan del Río, Qro., México)

  • CARLOS A. PEREZ-RAMIREZ

    (Departments Biomedical, Faculty of Engineering, Autonomous University of Queretaro, Campus Aeropuerto, Carretera a Chichimequillas S/N, Ejido Bolaños, 76140 Santiago, de Querétaro, Qro., México)

  • JUAN P. AMEZQUITA-SANCHEZ

    (��ENAP-RG, CA Sistemas Dinámicos y Control, Departments Biomedical and Electromechanical, Faculty of Engineering, Autonomous University of Queretaro, Campus San Juan del Río, Río Moctezuma 249, Col. San Cayetano, C. P. 76807 San, Juan del Río, Qro., México)

Abstract

Sudden cardiac death (SCD) is deemed as one of the main causes of death in humans. Therefore, the prediction of an SCD event will help people to receive timely treatment, allowing saving their life. In this sense, this paper introduces a new methodology based on the adroit fusion of fractal dimension (FD) algorithms and a fuzzy logic system for predicting an SCD event automatically. Five FD implementations are investigated in this work: Katz’s FD, Sevcik’s FD, Box’s FD, Higuchi’s FD, and Petrosian’s FD, in order to evaluate the geometrical complexity in electrocardiogram signals of 20 patients with SCD and 18 patients with a normal cardiac rhythm offered by Boston’s Beth Israel Hospital. The results indicate that the FD-based methodology can predict an SCD event up to 60min before the onset, reaching an accuracy of 91.54%.

Suggested Citation

  • Rogelio Piã‘A-Vega & Martin Valtierra-Rodriguez & Carlos A. Perez-Ramirez & Juan P. Amezquita-Sanchez, 2021. "Early Prediction Of Sudden Cardiac Death Using Fractal Dimension And Ecg Signals," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 29(03), pages 1-13, May.
    • Handle: RePEc:wsi:fracta:v:29:y:2021:i:03:n:s0218348x21500778
    DOI: 10.1142/S0218348X21500778
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