Usefulness of multi-labelling artificial intelligence in detecting rhythm disorders and acute ST-elevation myocardial infarction on 12-lead electrocardiogram

AIMS: To develop an artificial intelligence-based approach with multi-labelling capability to identify both ST-elevation myocardial infarction (STEMI) and 12 heart rhythms based on 12-lead electrocardiograms (ECGs). METHODS AND RESULTS: We trained, validated, and tested a long short-term memory (LST...

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Detalles Bibliográficos
Autores principales: Chang, Kuan-Cheng, Hsieh, Po-Hsin, Wu, Mei-Yao, Wang, Yu-Chen, Wei, Jung-Ting, Shih, Edward S C, Hwang, Ming-Jing, Lin, Wan-Ying, Lin, Wan-Ting, Lee, Kuan-Jung, Wang, Ti-Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708016/
https://www.ncbi.nlm.nih.gov/pubmed/36712388
http://dx.doi.org/10.1093/ehjdh/ztab029

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708016/
https://www.ncbi.nlm.nih.gov/pubmed/36712388
http://dx.doi.org/10.1093/ehjdh/ztab029

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