Automatic detection of sleep stages in neonatal EEG using the structural time profiles

Autor:	Milos Matousek, Lenka Lhotska, Jitka Mohylova, K. Paul, Vladimir Krajca, Svojmil Petránek
Rok vydání:	2007
Předmět:	Sleep Stages medicine.diagnostic_test Neonatal eeg business.industry Speech recognition Pattern recognition Electroencephalography Signal classification medicine Segmentation Sleep (system call) Artificial intelligence Class membership business
Zdroj:	Scopus-Elsevier
ISSN:	1557-170X
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8633b4a9ce5bb192e86a60e6f9f83cc https://pubmed.ncbi.nlm.nih.gov/17281632 Zobrazit plný text záznamu