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CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=15180]},camposKey: 228 231 Análisis espectral de la señal de flujo aéreo como ayuda al diagnóstico del síndrome de apnea-hipopnea del sueño en niños 978-84-9048-531-6XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2016), Sociedad Española de Ingeniería Biomédica (SEIB) 1 2016-01-01 Editorial Universitat Politècnica de València, CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, ifccomptador=15173]},camposKey: 79 82 Automated Analysis of Unattended Portable Oximetry by means of Bayesian Neural Networks to Assist in the Diagnosis of Sleep Apnea 978-1-5090-2484-1Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE)hanges (GMEPE /PAHCE) 1 2016-01-01 Institute of Electrical and Electronics Engineers (IEEE), CapitolsLlib{id=com.sigma.fs3.argos.domain.gpc.GpcCapitolsLlibPK[ifcactivitat=CAP, 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