Machine learning of microvolt-level 12-lead electrocardiogram can help distinguish takotsubo syndrome and acute anterior myocardial infarction

BACKGROUND: Qualitative differences in 12-lead electrocardiograms (ECG) at onset have been reported in patients with takotsubo syndrome (TTS) and acute anterior myocardial infarction (Ant-AMI). We aimed to distinguish these diseases by machine learning (ML) approach of microvolt-level quantitative m...

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Detalles Bibliográficos
Autores principales: Shimizu, Masato, Suzuki, Makoto, Fujii, Hiroyuki, Kimura, Shigeki, Nishizaki, Mitsuhiro, Sasano, Tetsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422059/
https://www.ncbi.nlm.nih.gov/pubmed/36046427
http://dx.doi.org/10.1016/j.cvdhj.2022.07.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422059/
https://www.ncbi.nlm.nih.gov/pubmed/36046427
http://dx.doi.org/10.1016/j.cvdhj.2022.07.001

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