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...

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Detalles Bibliográficos
Autores principales: Khuwaja, Gulzar A, Haghighi, Sahar Javaher, Hatzinakos, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Research
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

Internet

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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