A classification algorithm based on spectral features from nocturnal oximetry and support vector machines to assist in the diagnosis of obstructive sleep apnea

Marcos, J.V.; Hornero, R.; Álvarez, D.; Del Campo, F.; Zamarrón, C.

doi:10.1109/IEMBS.2009.5333731

A classification algorithm based on spectral features from nocturnal oximetry and support vector machines to assist in the diagnosis of obstructive sleep apnea

Marcos, J.V.
Hornero, R.
Álvarez, D.
Del Campo, F.
Zamarrón, C.

Actas:

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

ISBN: 9781424432967

Año de publicación: 2009

Páginas: 5547-5550

Tipo: Aportación congreso

DOI: 10.1109/IEMBS.2009.5333731 GOOGLE SCHOLAR

Fuente de los datos: Scopus