Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries

Estimating the depth of anaesthesia (DoA) in operations has always been a challenging issue due to the underlying complexity of the brain mechanisms. Electroencephalogram (EEG) signals are undoubtedly the most widely used signals for measuring DoA. In this paper, a novel EEG-based index is proposed...

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Detalles Bibliográficos
Autores principales: Liu, Quan, Ma, Li, Fan, Shou-Zen, Abbod, Maysam F., Shieh, Jiann-Shing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2018
Materias:
Anesthesiology and Pain Management
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970554/
https://www.ncbi.nlm.nih.gov/pubmed/29844970
http://dx.doi.org/10.7717/peerj.4817

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5970554/
https://www.ncbi.nlm.nih.gov/pubmed/29844970
http://dx.doi.org/10.7717/peerj.4817

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