Validation of Deep Learning-based Sleep State Classification

Deep learning methods have been developed to classify sleep states of mouse electroencephalogram (EEG) and electromyogram (EMG) recordings with accuracy reported as high as 97%. However, when applied to independent datasets, with a variety of experimental and recording conditions, sleep state classi...

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Detalles Bibliográficos
Autores principales: Chen, Wei, Zhang, Xiaohui, Miao, Hanyang, Tang, Michelle J., Anastasio, Mark, Culver, Joseph, Lee, Jin-Moo, Landsness, Eric C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Caltech Library 2022
Materias:
Replication Successful
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579869/
https://www.ncbi.nlm.nih.gov/pubmed/36277479
http://dx.doi.org/10.17912/micropub.biology.000643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9579869/
https://www.ncbi.nlm.nih.gov/pubmed/36277479
http://dx.doi.org/10.17912/micropub.biology.000643

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