Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients' Consciousness Level Based on Anesthesiologists Experience

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect awareness, have been widely used in many research and medical equipment to build a noninvasive monitoring index to the depth of anesthesia (DOA). Bispectral (BIS) index monitor is one of the famous an...

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Detalles Bibliográficos
Autores principales: Jiang, George J. A., Fan, Shou-Zen, Abbod, Maysam F., Huang, Hui-Hsun, Lan, Jheng-Yan, Tsai, Feng-Fang, Chang, Hung-Chi, Yang, Yea-Wen, Chuang, Fu-Lan, Chiu, Yi-Fang, Jen, Kuo-Kuang, Wu, Jeng-Fu, 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/PMC4337052/
https://www.ncbi.nlm.nih.gov/pubmed/25738152
http://dx.doi.org/10.1155/2015/343478

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