Real-time machine learning-based intensive care unit alarm classification without prior knowledge of the underlying rhythm

AIMS: This work attempts to develop a standalone heart rhythm alerting system for the intensive care unit (ICU), where life-threatening arrhythmias have to be identified/alerted more precisely and more instantaneously (i.e. with lower latency) than existing bedside monitors. METHODS AND RESULTS: We...

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Detalles Bibliográficos
Autores principales: Au-Yeung, Wan-Tai M, Sevakula, Rahul K, Sahani, Ashish K, Kassab, Mohamad, Boyer, Richard, Isselbacher, Eric M, Armoundas, Antonis A
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/PMC8482048/
https://www.ncbi.nlm.nih.gov/pubmed/34604758
http://dx.doi.org/10.1093/ehjdh/ztab058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482048/
https://www.ncbi.nlm.nih.gov/pubmed/34604758
http://dx.doi.org/10.1093/ehjdh/ztab058

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