Machine learning and feature engineering for predicting pulse presence during chest compressions

Current resuscitation protocols require pausing chest compressions during cardiopulmonary resuscitation (CPR) to check for a pulse. However, pausing CPR when a patient is pulseless can worsen patient outcomes. Our objective was to design and evaluate an ECG-based algorithm that predicts pulse presen...

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Detalles Bibliográficos
Autores principales: Sashidhar, Diya, Kwok, Heemun, Coult, Jason, Blackwood, Jennifer, Kudenchuk, Peter J., Bhandari, Shiv, Rea, Thomas D., Kutz, J. Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580432/
https://www.ncbi.nlm.nih.gov/pubmed/34804564
http://dx.doi.org/10.1098/rsos.210566

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580432/
https://www.ncbi.nlm.nih.gov/pubmed/34804564
http://dx.doi.org/10.1098/rsos.210566

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