A Low-Power Wireless System for Predicting Early Signs of Sudden Cardiac Arrest Incorporating an Optimized CNN Model Implemented on NVIDIA Jetson

The survival rate for sudden cardiac arrest (SCA) is low, and patients with long-term risks of SCA are not adequately alerted. Understanding SCA’s characteristics will be key to developing preventive strategies. Many lives could be saved if SCA’s early onset could be detected or predicted. Monitorin...

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Detalles Bibliográficos
Autores principales: Kota, Venkata Deepa, Sharma, Himanshu, Albert, Mark V., Mahbub, Ifana, Mehta, Gayatri, Namuduri, Kamesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959289/
https://www.ncbi.nlm.nih.gov/pubmed/36850868
http://dx.doi.org/10.3390/s23042270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959289/
https://www.ncbi.nlm.nih.gov/pubmed/36850868
http://dx.doi.org/10.3390/s23042270

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