Diseño de un prototipo de bajo coste computacional para detección de arritmias cardiacas

Palabras-clave: Arritmia cardíaca, Arduino Mega, base de datos de MIT, señales ECG de tipo Holter Abstract: This research presents the design of a prototype for the detection of cardiac arrhythmias that incorporates an embedded low-cost computational system in an environment of limited computational...

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Bibliographic Details
Published in:RISTI : Revista Ibérica de Sistemas e Tecnologias de Informação 2021-01 (E40), p.470-479
Main Authors: Vargas-Muñoz, Andrés M, Chamorro-Sangoquiza, Diana C, Umaquinga-Criollo, Ana C, Rosero-Montalvo, Paul D, Becerra, Miguel A, Peluffo-Ordóñez, Diego H, Revelo-Fuelagán, E Javier
Format: Article
Language:por ; spa
Subjects:
Algorithms
Arrhythmia
Cardiac arrhythmia
Computing costs
Prototypes
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Summary:Palabras-clave: Arritmia cardíaca, Arduino Mega, base de datos de MIT, señales ECG de tipo Holter Abstract: This research presents the design of a prototype for the detection of cardiac arrhythmias that incorporates an embedded low-cost computational system in an environment of limited computational resources capable of analyzing characteristics of the QRS complexes. To do this, a strategy for classifying normal and pathological heart beats is developed in long-term electrocardiographic recordings (Holter), which are representative waves of the beat and their analysis allows identifying ventricular arrhythmias. For the development of this initial prototype, it is found that the use of the k nearest neighbors (k-NN) algorithm together with a stage of selection of variables from the training set is a good alternative and represents an important contribution of this work to experimental level. The experiments were carried out on the basis of cardiac arrhythmia data from the Massachusetts Institute of Technology (MIT).
ISSN:1646-9895