Automatic Sleep-Stage Scoring in Healthy and Sleep Disorder Patients Using Optimal Wavelet Filter Bank Technique with EEG Signals

Sleep stage classification plays a pivotal role in effective diagnosis and treatment of sleep related disorders. Traditionally, sleep scoring is done manually by trained sleep scorers. The analysis of electroencephalogram (EEG) signals recorded during sleep by clinicians is tedious, time-consuming a...

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Detalles Bibliográficos
Autores principales: Sharma, Manish, Tiwari, Jainendra, Acharya, U. Rajendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002569/
https://www.ncbi.nlm.nih.gov/pubmed/33802799
http://dx.doi.org/10.3390/ijerph18063087

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8002569/
https://www.ncbi.nlm.nih.gov/pubmed/33802799
http://dx.doi.org/10.3390/ijerph18063087

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