Classification of sleep stages in infants a neuro fuzzy approach.

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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Bibliographic Details
Published in:IEEE Engineering in medicine and biology magazine 21, 5 (2002).
Main Author: Heiss, J.E
Format: Article
Language:English
Subjects:
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.