Cargando…
Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review
Myocardial infarction is a common cardiovascular disorder caused by prolonged ischemia, and early diagnosis of myocardial infarction (MI) is critical for lifesaving. ECG is a simple and non-invasive approach in MI detection, localization, diagnosis, and prognosis. Population-based screening with ECG...
Autores principales: | Xiong, Ping, Lee, Simon Ming-Yuen, Chan, Ging |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990170/ https://www.ncbi.nlm.nih.gov/pubmed/35402563 http://dx.doi.org/10.3389/fcvm.2022.860032 |
Ejemplares similares
-
Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms
por: Chen, Xiehui, et al.
Publicado: (2021) -
Corrigendum: Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms
por: Chen, Xiehui, et al.
Publicado: (2021) -
Intracoronary Electrocardiogram ― Identification of the Culprit Artery in Asymptomatic Myocardial Infarction ―
por: Nakayama, Masafumi, et al.
Publicado: (2019) -
Deep learning assessment of left ventricular hypertrophy based on electrocardiogram
por: Zhao, Xiaoli, et al.
Publicado: (2022) -
Ensemble learning of myocardial displacements for myocardial infarction detection in echocardiography
por: Nguyen, Tuan, et al.
Publicado: (2023)