Analysis of non-linear respiratory influences on sleep apnea classification

In this paper we propose the use of Kernel Principal Component Regression (KPCR) in order to model the nonlinear interaction between heart rate (HR) and respiration. We used wavelets in order to decompose the respiratory signal in 2 different frequency bands; namely, the low frequency band (LF) 0-0....

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Detalles Bibliográficos
Autores Principales: Caicedo Dorado, Alexander, Varon, Carolina, Van Huffel
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Engineering in Medicine and Biology Society 2014
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/28432