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Revista Colombiana de Psiquiatría
Print version ISSN 0034-7450
Abstract
GUZMAN SIERRA, Dayana Lizethe; CARRENO LEON, Mariano and CAMARGO CASALLAS, Luz Helena. Identifying sleep apnoea and hypopnoea episodes from respiratory polygraphy signals. rev.colomb.psiquiatr. [online]. 2017, vol.46, n.2, pp.88-94. ISSN 0034-7450. https://doi.org/10.1016/j.rcpeng.2017.05.006.
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 a respiratory polygraphy (RP) database.
Methods:
An analysis was made of data obtained from a public database, that included the RP signals, nasobucal airflow, thoracoabdominal movement, and pulse oximetry of 23 patients between 28 and 68 years with suspected SAHS, and with a body mass index (BMI) from 25.1 to 42.5.
Results:
The identification and classification of episodes of apnoea and hypopnoea was obtained.
Conclusions:
The algorithm designed identified episodes of SAHS using polygraphy signals, which by implementating in a graphical interface allows visualisation of onset, duration, type, oxygen saturation, and pulse oximetry of each episode, and can be used as a support tool for the diagnosis of sleep disorders.
Keywords : Polysomnography; Breathing; Apnoea; Sleep.