Enhancing Obstructive Apnea Disease Detection Using Dual-Tree Complex Wavelet Transform-Based Features and the Hybrid “K-Means, Recursive Least-Squares” Learning for the Radial Basis Function Network

BACKGROUND: The obstructive sleep apnea (OSA) detection has become a hot research topic because of the high risk of this disease. In this paper, we tested some powerful and low computational signal processing techniques for this task and compared their results with the recent achievements in OSA det...

Descripción completa

Detalles Bibliográficos
Autores principales: Ostadieh, Javad, Amirani, Mehdi Chehel, Valizadeh, Morteza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866948/
https://www.ncbi.nlm.nih.gov/pubmed/33575194
http://dx.doi.org/10.4103/jmss.JMSS_69_19

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866948/
https://www.ncbi.nlm.nih.gov/pubmed/33575194
http://dx.doi.org/10.4103/jmss.JMSS_69_19

Ejemplares similares