Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV

"It is estimated that 50% of all cardiovascular deaths are caused by a sudden cardiac arrest (SCA), which represents 15% of global mortality, and its main cause is ventricular fibrillation (VF). Therefore, it is of interest to design new methods capable to detect changes in heart rate (HR or RR...

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Detalles Bibliográficos
Autores principales: Mosquera, Candelaria, Racca, Dora María, Quintero-Rincón, Antonio
Formato: Artículos de Publicaciones Periódicas acceptedVersion
Lenguaje:Inglés
Publicado: 2020
Materias:
FIBRILACION VENTRICULAR
RITMO CARDIACO
ALGORITMOS
PROCESAMIENTO DE SEÑALES DIGITALES
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3058
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3058
record_format dspace
spelling I32-R138-123456789-30582022-12-07T13:05:47Z Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV Mosquera, Candelaria Racca, Dora María Quintero-Rincón, Antonio FIBRILACION VENTRICULAR RITMO CARDIACO ALGORITMOS PROCESAMIENTO DE SEÑALES DIGITALES "It is estimated that 50% of all cardiovascular deaths are caused by a sudden cardiac arrest (SCA), which represents 15% of global mortality, and its main cause is ventricular fibrillation (VF). Therefore, it is of interest to design new methods capable to detect changes in heart rate (HR or RR interval) that could announce the beginning of an imminent fibrillation. In this work, an effective novel indicator, based on mean and standard deviation of Heart Rate Variability (HRV), was studied and used to develop an algorithm that predicts imminent VF with 100% sensitivity and 100% specificity. The study was based on 65 RR intervals signals. The algorithm’s simplicity provides a quick-to-use implementation in a micro controller unit (MCU) for real-time VF detection, allowing its application in a variety of medical devices with electrocardiogram (ECG) modules." "Se estima que el 50% de todas las muertes cardiovasculares son causadas por un paro card´ıaco repentino (PCR), el cual representa el 15% de la mortalidad global, y su causa principal es la fibrilación ventricular (FV). Por lo tanto, es interesante diseñar nuevos métodos capaces de detectar cambios en la frecuencia card´ıaca (intervalo FC o RR) que pueda advertir el comienzo de una fibrilación inminente. En este trabajo, se estudió un indicador novedoso eficaz, basado en la media y la desviación estándar de la Variabilidad de la Frecuencia Cardíaca (VFC), y se utilizó para desarrollar un algoritmo que predice una FV inminente con una sensibilidad y una especificidad del 100%. El estudio se basó en 65 señales de intervalos RR. La simplicidad del algoritmo proporciona una implementación rápida en una unidad de microcontrolador (MCU) para la detecci´on de FV en tiempo real, lo que permite su aplicación en una variedad de dispositivos médicos con módulos de electrocardiograma (ECG)." 2020-09-28T13:33:46Z 2020-09-28T13:33:46Z 2018 Artículos de Publicaciones Periódicas info:eu-repo/semantics/acceptedVersion 0329-5257 http://ri.itba.edu.ar/handle/123456789/3058 en info:eu-repo/semantics/altIdentifier/url//http://revista.sabi.org.ar/index.php/revista/article/view/244 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic FIBRILACION VENTRICULAR
RITMO CARDIACO
ALGORITMOS
PROCESAMIENTO DE SEÑALES DIGITALES
spellingShingle FIBRILACION VENTRICULAR
RITMO CARDIACO
ALGORITMOS
PROCESAMIENTO DE SEÑALES DIGITALES
Mosquera, Candelaria
Racca, Dora María
Quintero-Rincón, Antonio
Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
topic_facet FIBRILACION VENTRICULAR
RITMO CARDIACO
ALGORITMOS
PROCESAMIENTO DE SEÑALES DIGITALES
description "It is estimated that 50% of all cardiovascular deaths are caused by a sudden cardiac arrest (SCA), which represents 15% of global mortality, and its main cause is ventricular fibrillation (VF). Therefore, it is of interest to design new methods capable to detect changes in heart rate (HR or RR interval) that could announce the beginning of an imminent fibrillation. In this work, an effective novel indicator, based on mean and standard deviation of Heart Rate Variability (HRV), was studied and used to develop an algorithm that predicts imminent VF with 100% sensitivity and 100% specificity. The study was based on 65 RR intervals signals. The algorithm’s simplicity provides a quick-to-use implementation in a micro controller unit (MCU) for real-time VF detection, allowing its application in a variety of medical devices with electrocardiogram (ECG) modules."
format Artículos de Publicaciones Periódicas
acceptedVersion
author Mosquera, Candelaria
Racca, Dora María
Quintero-Rincón, Antonio
author_facet Mosquera, Candelaria
Racca, Dora María
Quintero-Rincón, Antonio
author_sort Mosquera, Candelaria
title Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
title_short Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
title_full Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
title_fullStr Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
title_full_unstemmed Real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat HRV
title_sort real-time detection of imminent ventricular fibrillation using mean and standard deviation of beat-to-beat hrv
publishDate 2020
url http://ri.itba.edu.ar/handle/123456789/3058
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