Deep Learning Strategy for Sliding ECG Analysis during Cardiopulmonary Resuscitation: Influence of the Hands-Off Time on Accuracy

This study aims to present a novel deep learning algorithm for a sliding shock advisory decision during cardiopulmonary resuscitation (CPR) and its performance evaluation as a function of the cumulative hands-off time. We retrospectively used 13,570 CPR episodes from out-of-hospital cardiac arrest (...

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Detalles Bibliográficos
Autores principales: Krasteva, Vessela, Didon, Jean-Philippe, Ménétré, Sarah, Jekova, Irena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181605/
https://www.ncbi.nlm.nih.gov/pubmed/37177703
http://dx.doi.org/10.3390/s23094500

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181605/
https://www.ncbi.nlm.nih.gov/pubmed/37177703
http://dx.doi.org/10.3390/s23094500

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