Simulation of an electrocardiographic system for the detection of cardiac pathologies
DOI:
https://doi.org/10.24054/rcta.v2i40.2352Keywords:
EKG, heart diseases, Matlab, PSD, signal processingAbstract
With the objective of designing an electrocardiographic system simulator for the detection of cardiac pathologies making their respective diagnosis, this project is carried out in 4 stages: the first refers to the modelling and mathematical analysis of the EKG normal signal and four pathologies to study (bradycardia, tachycardia, atrial fibrillation and ventricular fibrillation). In a second moment, it seeks to design an electrocardiograph, which allows amplifying the simulated signal of the patient and filtering a 60Hz noise signal added to it. In the third stage, the acquisition and processing of the signal through the Matlab software is presented. Finally, the fourth and last stage consists of the diagnosis of the patient through the comparison of the Power Spectral Density (PSD) of the acquired signal with the signals that have been stored and processed.
Downloads
References
Bistel, R., & Fajardo, A. (2015). Design of a System for Acquisition and Processing ECG´s Signals based on Virtual Instrumentation. RIELAC, 1, 17–30.
Cantillo Maldonado, A., Gualdron Guerrero, O., & Ortiz Sandoval, J. (2018). Signal Processing EMG in an Embedded System for Control Neuronal of a Robotic Arm. Revista Colombiana de Tecnologías de Avanzada, 2(32), 139–147. https://doi.org/10.24054/16927257.v32.n32.2018.3037
García, M. (2015). Procesado de Señales Cardiacas: Análisis de Organización de Fourier. 89.
Jorge, H. V. (2017). ECG 7.2 Ritmo sinusal, arritmias del nodo sinusal - Cardio Science. https://www.cardioscience.com.mx/nota.php?id=263
Li, H., Hu, Y., & Wang, S. (2020). Signal Detection Based on Power-Spectrum Sub-Band. https://doi.org/10.3390/electronics10010064
Marcela, G. V., & Ximena, M. O. (2009). Análisis De Señales Electrocardiográficas (ECG) Con Isquemia Cardiaca Usando Técnicas De Procesamiento Digital De Señales. Aspectos Generales De La Planificación Tributaria En Venezuela, 2009(75), 31–47.
Material Médico. (2017). Electrocardiógrafo. https://materialmedico.org/electrocardiografo/
MATLAB. (2020). Power Spectral Density Estimates Using FFT - MATLAB & Simulink - MathWorks Deutschland. https://de.mathworks.com/help/signal/ug/power-spectral-density-estimates-using-fft.html
Practical Clinical Skills. (2020a). Fibrilación Ventricular Guía de referencia. https://www.practicalclinicalskills.com/ekg-reference-guide-details-es?lessonid=26
Practical Clinical Skills. (2020b). Taquicardia Sinusal Guía de referencia. https://www.practicalclinicalskills.com/ekg-reference-guide-details-es?lessonid=2
Prasad, B. V. P., & Parthasarathy, V. (2018). Detection and classification of cardiovascular abnormalities using FFT based multi-objective genetic algorithm. Biotechnology and Biotechnological Equipment, 32(1), 183–193. https://doi.org/10.1080/13102818.2017.1389303
Ramírez, V., & Dorantes, G. (2017). Probits Interfaz Gráfica para la Adquisición y Procesamiento de Señales Biomédicas con la Tarjeta Bitalino. Sociedad Mexicana de Ingeniería Biomedica, 282–285.
Rohde & Scjwarz. (2020). Captura de señales de electrocardiogramas pequeñas en aplicaciones médicas | Rohde & Schwarz. https://www.rohde-schwarz.com/es/aplicaciones/captura-de-se-ales-de-electrocardiogramas-peque-as-en-aplicaciones-m-dicas-ficha-de-aplicacion_56279-152385.html?rusprivacypolicy=0
Romero, J. L. (2015). Análisis de Señales Electrocardiográficas usando técnicas de procesamiento digital. Universidad Oberta de Catalunya., 1, 45.
Romo, Á., & Martínez, J. (2019). Diseño De Un Sistema Para El Análisis De Señales Dinámicas Electromiográficas En Estudios De Ergonomía Basado En Técnicas Temporales y Frecuenciales. https://riunet.upv.es/bitstream/handle/10251/159590/51506258N_TFM_15949262307664331268895100267838.pdf?sequence=2
Sedra, A., & Smith, K. (2015). Microelectronic Circuits (OXFORD Uni).
SEMERGEN Cantabria. (n.d.). ECG - valores normales. Retrieved January 19, 2021, from http://www.semergencantabria.org/calc/bmcalc.htm
Siza, R., Cazar, D., & Cortez, M. (2013). Análisis de señales cardiovasculares utilizando técnicas de procesamiento digital de señales. Perfiles, 76.
Texas Instruments. (2015). INA129-EP Precision, Low Power Instrumentation Amplifiers.
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 REVISTA COLOMBIANA DE TECNOLOGIAS DE AVANZADA (RCTA)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.