DocumentCode
1585683
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
fYear
2006
Firstpage
6014
Lastpage
6016
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/IEMBS.2005.1615862
Filename
1615862
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