2018
Authors
Pavão, J; Bastardo, R; Pereira, LT; Oliveira, P; Costa, V; Martins, AI; Queirós, A; da Rocha, NP;
Publication
Biomedical Engineering Systems and Technologies - 11th International Joint Conference, BIOSTEC 2018, Funchal, Madeira, Portugal, January 19-21, 2018, Revised Selected Papers
Abstract
2023
Authors
Cruz, C; Leite, A; Pires, EJS; Pereira, LT;
Publication
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Abstract
Myocardial infarction, known as heart attack, is one of the leading causes of world death. It occurs when blood heart flow is interrupted by part of coronary artery occlusion, causing the ischemic episode to last longer, creating a change in the patient’s ECG. In this work, a method was developed for predicting patients with MI through Frank 3-lead ECG extracted from Physionet’s PTB ECG Diagnostic Database and using instantaneous frequency and spectral entropy to extract features. Two neural networks were applied: Long Short-Term Memory and Bi-Long Short-Term Memory, obtaining a better result with the first one, with an accuracy of 78%. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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