Automated Analysis of Sleep Study Parameters Using Signal Processing and Artificial Intelligence

An automated sleep stage categorization can readily face noise-contaminated EEG recordings, just as other signal processing applications. Therefore, the denoising of the contaminated signals is inevitable to ensure a reliable analysis of the EEG signals. In this research work, an empirical mode deco...

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Detalles Bibliográficos
Autores principales: Sohaib, Muhammad, Ghaffar, Ayesha, Shin, Jungpil, Hasan, Md Junayed, Suleman, Muhammad Taseer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603486/
https://www.ncbi.nlm.nih.gov/pubmed/36293844
http://dx.doi.org/10.3390/ijerph192013256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9603486/
https://www.ncbi.nlm.nih.gov/pubmed/36293844
http://dx.doi.org/10.3390/ijerph192013256

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