Statistical and nonlinear analysis of oximetry from respiratory polygraphy to assist in the diagnosis of Sleep Apnea in children

  1. Alvarez, D.
  2. Gutierrez-Tobal, G.C.
  3. Alonso, M.L.
  4. Teran, J.
  5. Del Campo, F.
  6. Hornero, R.
Proceedings:
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

ISBN: 9781424479290

Year of publication: 2014

Pages: 1860-1863

Type: Conference paper

DOI: 10.1109/EMBC.2014.6943972 GOOGLE SCHOLAR lock_openUVADOC editor

Related Projects

RECONOCIMIENTO AUTOMÁTICO DE PATRONES DE LA SEÑAL DE OXIMETRÍA PARA EL DIAGNÓSTICO DOMICILIARIO DEL SÍNDROME DE APNEA HIPOPNEA DEL SUEÑO

2014/00269/001

Data source: Scopus