Classification of sleep stages in infants a neuro fuzzy approach.

An ANFIS based neuro-fuzzy classifier with a pruning algorithm was implemented and applied to the classification of sleep-waking states-stages in infants, using the sleep pattern detection system of P.A. Estevez (2002) to generate the inputs. Including artifacted pages, an average of 88.2% of expert...

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Опубликовано в::	IEEE Engineering in medicine and biology magazine 21, 5 (2002).
Главный автор:	Heiss, J.E
Формат:	Статья
Язык:	English
Предметы:	ANFIS based neuro-fuzzy classifier. Artifacted pages. Expert agreement. General methodology for rule discovery & interpretation. Infants. Neuro fuzzy approach. Pruning algorithm. Sleep pattern detection system. Sleep stages classification. Sleep-waking states-stages. Training process.