Automatic estimation of sleep and wakefulness using a single-channel EEG and home polygraphy signals

Introduction: The identification of total sleep time (TST) is crucial for Apnea and Hypopnea Index (AHI) calculation. In polysomnography (PSG), sleep/wake scoring implies the use of EEG, EOG and EMG, which are costly and time consuming. In type III home polygraphy (HPG), TST is overestimated due to the lack of electrophysiological recordings. The aim of this study is to assess the performance of an automatic sleep/wake estimation algorithm based on a single EEG channel in comparison with manual scoring of routine PSG.

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