Introducing the Hybrid “K-means, RLS” Learning for the RBF Network in Obstructive Apnea Disease Detection using Dual-tree Complex Wavelet Transform Based Features

Apnea is one of the deadliest diseases that can be prevented and cured if it is detected in time. In this paper, we propose a precise method for early detection of the obstructive sleep apnea (OSA) disease using the latest feature selection and extraction methods. The feature selection in this paper...

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Detalles Bibliográficos
Autores principales: Ostadieh, Javad, Amirani, Mehdi Chehel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sciendo 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531097/
https://www.ncbi.nlm.nih.gov/pubmed/33584897
http://dx.doi.org/10.2478/joeb-2020-0002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531097/
https://www.ncbi.nlm.nih.gov/pubmed/33584897
http://dx.doi.org/10.2478/joeb-2020-0002

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