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Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms

Sleep spindles are brief bursts of brain activity in the sigma frequency range (11–16 Hz) measured by electroencephalography (EEG) mostly during non-rapid eye movement (NREM) stage 2 sleep. These oscillations are of great biological and clinical interests because they potentially play an important r...

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Detalles Bibliográficos
Autores principales: Liu, Min-Yin, Huang, Adam, Huang, Norden E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435763/
https://www.ncbi.nlm.nih.gov/pubmed/28572762
http://dx.doi.org/10.3389/fnhum.2017.00261