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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...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
The Korean Society of Medical Informatics
2010
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| 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 |