Title :
Automatic Detection of Sleep Stages in Neonatal EEG Using the Structural Time Profiles
Author :
Krajca, V. ; Petranek, S. ; Paul, K. ; Matousek, M. ; Mohylova, J. ; Lhotska, L.
Author_Institution :
Dept. of Neurology, Faculty Hospital Bulovka, Prague
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
Keywords :
electroencephalography; medical signal detection; medical signal processing; signal classification; sleep; adaptive segmentation; automatic sleep stages detection; neonatal EEG; signal graphoelement classification; structural time profiles; Chaos; Electroencephalography; Feature extraction; Frequency; Hospitals; Inspection; Nervous system; Pediatrics; Signal processing; Sleep;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1615862
