Computational Depth of Anesthesia via Multiple Vital Signs Based on Artificial Neural Networks

This study evaluated the depth of anesthesia (DoA) index using artificial neural networks (ANN) which is performed as the modeling technique. Totally 63-patient data is addressed, for both modeling and testing of 17 and 46 patients, respectively. The empirical mode decomposition (EMD) is utilized to...

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Detalles Bibliográficos
Autores principales: Sadrawi, Muammar, Fan, Shou-Zen, Abbod, Maysam F., Jen, Kuo-Kuang, Shieh, Jiann-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4621366/
https://www.ncbi.nlm.nih.gov/pubmed/26568957
http://dx.doi.org/10.1155/2015/536863

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4621366/
https://www.ncbi.nlm.nih.gov/pubmed/26568957
http://dx.doi.org/10.1155/2015/536863

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