A New Approach to Classify Cardiac Arrythmias Using 2D Convolutional Neural Networks.
Annu Int Conf IEEE Eng Med Biol Soc
; 2021: 566-570, 2021 11.
Article
en En
| MEDLINE
| ID: mdl-34891357
ABSTRACT
Cardiovascular diseases are the number one cause of death worldwide. Detecting cardiovascular diseases in its early stages could effectively reduce the mortality rate by providing timely treatment. In this study, we propose a new methodology to detect arrythmias, using 2D Convolutional Neural Networks. The main characteristic of the proposed methodology is the use of 15 x15 pixels gray-level images, containing the values of a heartbeat of the ECG signal. This work aims to detect 17 arrythmias. To validate and test the proposed methodology, MIT-BIH database, the main benchmark database available in literature, was used. When compared to other results previously published, the obtained precision, 92.31%, is in the state-of-the-art.Clinical Relevance- The presented work provides an automatic method to detect arrythmias in ECG signals by a new methodology.
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1
Bases de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Electrocardiografía
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Annu Int Conf IEEE Eng Med Biol Soc
Año:
2021
Tipo del documento:
Article