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 and imp...

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Publicado en:	BioMed Research International Vol. 2015; pp. 1 - 9
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:	equations & formulas research tables/charts Journal Article
Publicado:	Wiley-Blackwell 2/8/2015
Acceso en línea:	Ver este registro en EBSCOhost