Developing a robust model to predict depth of anesthesia from single channel EEG signal

Monitoring depth of anaesthesia (DoA) from electroencephalograph (EEG) signals is an ongoing challenge for anaesthesiologists. In this study, we propose an intelligence model that predicts the DoA from a single channel electroencephalograph (EEG) signal. A segmentation technique based on a sliding w...

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Detalles Bibliográficos
Autores principales: Alsafy, Iman, Diykh, Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Scientific Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448694/
https://www.ncbi.nlm.nih.gov/pubmed/35790625
http://dx.doi.org/10.1007/s13246-022-01145-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448694/
https://www.ncbi.nlm.nih.gov/pubmed/35790625
http://dx.doi.org/10.1007/s13246-022-01145-z

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