Identificación automática de episodios de SAHSutilizando se ̃nales de poligrafía respiratoria
authors Dayana Lizethe Guzmán Sierra, Mariano Carreno León y Luz Helena Camargo Casallas
nationality International
journal Revista Colombiana de Psiquiatria
abstract Objective: To design a diagnostic support system for sleep apnoea and hypopnoea syndrome(SAHS) using moving average based on knowledge, able to identify SAHS episodes from arespiratory polygraphy (RP) database.Methods: An analysis was made of data obtained from a public database, that included the RPsignals, nasobucal airflow, thoracoabdominal movement, and pulse oximetry of 23 patientsbetween 28 and 68 years with suspected SAHS, and with a body mass index (BMI) from 25.1to 42.5.Results: The identification and classification of episodes of apnoea and hypopnoea wasobtained (PDF) Identificación automática de episodios de SAHS utilizando señales de poligrafía respiratoria. Available from: [accessed Mar 18 2021].
year published 2017
digital object identifier (doi) 10.1016/j.rcp.2016.04.005
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