Cargando…
EEG-Based Automatic Sleep Staging Using Ontology and Weighting Feature Analysis
Sleep staging is considered as an effective indicator for auxiliary diagnosis of sleep diseases and related psychiatric diseases, so it attracts a lot of attention from sleep researchers. Nevertheless, sleep staging based on visual inspection of tradition is subjective, time-consuming, and error-pro...
Autores principales: | Zhang, Bingtao, Lei, Tao, Liu, Hong, Cai, Hanshu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142786/ https://www.ncbi.nlm.nih.gov/pubmed/30254690 http://dx.doi.org/10.1155/2018/6534041 |
Ejemplares similares
-
Automatic sleep staging using ear-EEG
por: Mikkelsen, Kaare B., et al.
Publicado: (2017) -
Spatial–Temporal EEG Fusion Based on Neural Network for Major Depressive Disorder Detection
por: Zhang, Bingtao, et al.
Publicado: (2023) -
Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy
por: Gangstad, Sirin W., et al.
Publicado: (2019) -
EEG-Based Sleep Staging Analysis with Functional Connectivity
por: Huang, Hui, et al.
Publicado: (2021) -
Modulation of Sleep Architecture by Whole-Body Static Magnetic Exposure: A Study Based on EEG-Based Automatic Sleep Staging
por: Yang, Lei, et al.
Publicado: (2022)