Polysomnography Symbolic Fusion for Automatic Sleep Staging

Abstract : Sleep staging is a time-consuming work and inter-rater reliability variation exists in sleep-stages scorers. There is a need for automatic sleep staging which can facilitate this process and enhance the reliability. This paper presents a new method based on symbolic fusion to realize automatic sleep staging. By combining multiple signals of polysomnography (PSG) and considering temporal effects, symbolic fusion achieves improved accuracy and more specific inferences for sleep staging. This method was tested on 16 patientievPSG and the overall agreement of 65.58% was reached. Proposed symbolic fusion is developed for portable embedded system devices to assist sleep evaluation at home at low complexity and cost.
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Submitted on : Tuesday, May 17, 2016 - 5:00:23 PM
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Chen Chen, Xue Liu, Adrien Ugon, Xun Zhang, Amara Amara, et al.. Polysomnography Symbolic Fusion for Automatic Sleep Staging. 5èmes Journées d'Etude sur la TéléSANté (JETSAN), May 2016, Compiègne, France. ⟨hal-01316829⟩

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