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Auto-annotating sleep stages based on polysomnographic data

Sleep disorders affect the quality of life, and the clinical diagnosis of sleep disorders is a time-consuming and tedious process requiring recording and annotating polysomnographic records. In this work, we developed an auto-annotation algorithm based on polysomnographic records and a deep learning...

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Detalles Bibliográficos
Autores principales: Zhang, Hanrui, Wang, Xueqing, Li, Hongyang, Mehendale, Soham, Guan, Yuanfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8767308/
https://www.ncbi.nlm.nih.gov/pubmed/35079710
http://dx.doi.org/10.1016/j.patter.2021.100371