Development of Automated Sleep Stage Classification System Using Multivariate Projection-Based Fixed Boundary Empirical Wavelet Transform and Entropy Features Extracted from Multichannel EEG Signals

The categorization of sleep stages helps to diagnose different sleep-related ailments. In this paper, an entropy-based information–theoretic approach is introduced for the automated categorization of sleep stages using multi-channel electroencephalogram (EEG) signals. This approach comprises of thre...

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Detalles Bibliográficos
Autores principales: Tripathy, Rajesh Kumar, Ghosh, Samit Kumar, Gajbhiye, Pranjali, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597285/
https://www.ncbi.nlm.nih.gov/pubmed/33286910
http://dx.doi.org/10.3390/e22101141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597285/
https://www.ncbi.nlm.nih.gov/pubmed/33286910
http://dx.doi.org/10.3390/e22101141

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