Identificación automática de episodios de SAHSutilizando se ̃nales de poligrafía respiratoria

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: https://www.researchgate.net/publication/303781040_Identificacion_automatica_de_episodios_de_SAHS_utilizando_senales_de_poligrafia_respiratoria [accessed Mar 18 2021].

authors

Dayana Lizethe Guzmán Sierra, Mariano Carreno León y Luz Helena Camargo Casallas

our authors

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