title: Automatic detection of sleep stages in neonatal EEG using the structural time profiles.
abstract: The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages.
authors.affiliation: Faculty Hospital Bulovka, Deprtment of Neurology, Prague, Czech Republic. krajcav@fnb.cz
authors.forename: V
authors.initials: V
authors.lastname: Krajca
authors.forename: S
authors.initials: S
authors.lastname: Petranek
authors.forename: K
authors.initials: K
authors.lastname: Paul
authors.forename: M
authors.initials: M
authors.lastname: Matousek
authors.forename: J
authors.initials: J
authors.lastname: Mohylova
authors.forename: L
authors.initials: L
authors.lastname: Lhotska