Non-linear Analysis of Single Electroencephalography (EEG) for Sleep-Related Healthcare Applications

OBJECTIVES: Soft-computing techniques are commonly used to detect medical phenomena and to help with clinical diagnoses and treatment. The purpose of this paper is to analyze the single electroencephalography (EEG) signal with the chaotic methods in order to identify the sleep stages. METHODS: Data...

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Detalles Bibliográficos
Autores principales: Lee, Chung Ki, Jo, Han Gue, Yoo, Sun Kook
Formato: Texto
Lenguaje:English
Publicado: The Korean Society of Medical Informatics 2010
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089846/
https://www.ncbi.nlm.nih.gov/pubmed/21818423
http://dx.doi.org/10.4258/hir.2010.16.1.46

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089846/
https://www.ncbi.nlm.nih.gov/pubmed/21818423
http://dx.doi.org/10.4258/hir.2010.16.1.46

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