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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Korean Society of Medical Informatics
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3089846/ https://ncbi.nlm.nih.gov/pubmed/21818423 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4258/hir.2010.16.1.46 |
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