Deep Learning Networks Accurately Detect ST-Segment Elevation Myocardial Infarction and Culprit Vessel

Early diagnosis of acute ST-segment elevation myocardial infarction (STEMI) and early determination of the culprit vessel are associated with a better clinical outcome. We developed three deep learning (DL) models for detecting STEMIs and culprit vessels based on 12-lead electrocardiography (ECG) an...

Descripció completa

Dades bibliogràfiques

Autors principals:	Lin Wu, Guifang Huang, Xianguan Yu, Minzhong Ye, Lu Liu, Yesheng Ling, Xiangyu Liu, Dinghui Liu, Bin Zhou, Yong Liu, Jianrui Zheng, Suzhen Liang, Rui Pu, Xuemin He, Yanming Chen, Lanqing Han, Xiaoxian Qian
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-03-01
Col·lecció:	Frontiers in Cardiovascular Medicine
Matèries:	ST-segment elevation myocardial infarction (STEMI) electrocardiogram (ECG) convolutional neural network (CNN) long short-term memory (LSTM) CNN-LSTM deep learning (DL)
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fcvm.2022.797207/full
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!