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40-Hz ASSR fusion classification system for observing sleep patterns
This paper presents a fusion-based neural network (NN) classification algorithm for 40-Hz auditory steady state response (ASSR) ensemble averaged signals which were recorded from eight human subjects for observing sleep patterns (wakefulness W (0) and deep sleep N (3) or slow wave sleep SWS). In SWS...
Autores principales: | Khuwaja, Gulzar A, Haghighi, Sahar Javaher, Hatzinakos, Dimitrios |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5270494/ https://www.ncbi.nlm.nih.gov/pubmed/28194171 http://dx.doi.org/10.1186/s13637-014-0021-2 |
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