Automatic identification of compressions and ventilations during CPR based on the fuzzy c-means clustering and deep belief network

BACKGROUND: A transthoracic impedance (TTI) signal is an important indicator of the quality of chest compressions (CCs) during cardiopulmonary resuscitation (CPR). We proposed an automatic detection algorithm including the wavelet decomposition, fuzzy c-means (FCM) clustering, and deep belief networ...

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Detalles Bibliográficos
Autores principales: Zhang, He-Hua, Yang, Li, Wei, An-Hai, Duan, Ao-Wen, Li, Yong-Ming, Zhao, Ping, Li, Yong-Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576062/
https://www.ncbi.nlm.nih.gov/pubmed/33241014
http://dx.doi.org/10.21037/atm-20-5906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576062/
https://www.ncbi.nlm.nih.gov/pubmed/33241014
http://dx.doi.org/10.21037/atm-20-5906

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