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Changes in Electroencephalography Complexity using a Brain Computer Interface-Motor Observation Training in Chronic Stroke Patients: A Fuzzy Approximate Entropy Analysis

Entropy-based algorithms have been suggested as robust estimators of electroencephalography (EEG) predictability or regularity. This study aimed to examine possible disturbances in EEG complexity as a means to elucidate the pathophysiological mechanisms in chronic stroke, before and after a brain co...

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Detalles Bibliográficos
Autores principales: Sun, Rui, Wong, Wan-wa, Wang, Jing, Tong, Raymond Kai-yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5591875/
https://www.ncbi.nlm.nih.gov/pubmed/28928649
http://dx.doi.org/10.3389/fnhum.2017.00444