A novel time-domain signal processing algorithm for real time ventricular fibrillation detection

This paper presents an application of a novel algorithm for real time detection of ECG pathologies, especially ventricular fibrillation. It is based on segmentation and labeling process of an oversampled signal. After this treatment, analyzing sequence of segments, global signal behaviours are ob...

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Detalles Bibliográficos
Autores principales: Monte, Gustavo, Scarone, Norberto, Liscovsky, Pablo
Formato: Artículo publishedVersion
Lenguaje:Inglés
Inglés
Publicado: 2020
Materias:
signal segmentation- smart sampling-ecg signal processing
Acceso en línea:http://hdl.handle.net/20.500.12272/4305
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-4305
record_format dspace
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
Inglés
topic signal segmentation- smart sampling-ecg signal processing
spellingShingle signal segmentation- smart sampling-ecg signal processing
Monte, Gustavo
Scarone, Norberto
Liscovsky, Pablo
A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
topic_facet signal segmentation- smart sampling-ecg signal processing
description This paper presents an application of a novel algorithm for real time detection of ECG pathologies, especially ventricular fibrillation. It is based on segmentation and labeling process of an oversampled signal. After this treatment, analyzing sequence of segments, global signal behaviours are obtained in the same way like a human being does. The entire process can be seen as a morphological filtering after a smart data sampling. The algorithm does not require any ECG digital signal pre-processing, and the computational cost is low, so it can be embedded into the sensors for wearable and permanent applications. The proposed algorithms could be the input signal description to expert systems or to artificial intelligence software in order to detect other pathologies
format Artículo
publishedVersion
author Monte, Gustavo
Scarone, Norberto
Liscovsky, Pablo
author_facet Monte, Gustavo
Scarone, Norberto
Liscovsky, Pablo
author_sort Monte, Gustavo
title A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
title_short A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
title_full A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
title_fullStr A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
title_full_unstemmed A novel time-domain signal processing algorithm for real time ventricular fibrillation detection
title_sort novel time-domain signal processing algorithm for real time ventricular fibrillation detection
publishDate 2020
url http://hdl.handle.net/20.500.12272/4305
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