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

  1. Marcos, J.V.
  2. Hornero, R.
  3. Álvarez, D.
  4. Del Campo, F.
  5. Zamarrón, C.
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

Year of publication: 2009

Pages: 5547-5550

Type: Conference paper

DOI: 10.1109/IEMBS.2009.5333731 GOOGLE SCHOLAR