Single layer network classifiers to assist in the detection of obstructive sleep apnea syndrome from oximetry data

Abstract

The aim of this study is to assess the utility of single layer network classifiers to help in the diagnosis of the obstructive sleep apnea syndrome (SAOS). Oxygen saturation (SaO2) recordings from a total of 157 subjects suspected of suffering from OSAS were used. These were divided into a training set and a test set with 74 and 83 subjects, respectively… (More)
DOI: 10.1109/IEMBS.2008.4649491

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