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Adaptive Segmentation of Multimodal Polysomnography Data for Sleep Stages Detection

Publication at Faculty of Medicine in Hradec Králové |
2017

Abstract

The paper presents a new algorithm for adaptive classification of sleep stages using multimodal data recorded on the sleep laboratory during overnight polysomnography records.