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Parameter set selection and classification of sleep phases tracing biovital data

  • To assess the quality of a person’s sleep, it is essential to examine the sleep behaviour by identifying the several sleep stages, their durations and sleep cycles. The established and gold standard procedure for sleep stage scoring is overnight polysomnography (PSG) with the Rechtschaffen and Kales (R-K) method. Unfortunately, the conduct of PSG is timeconsuming and unfamiliar for the subjects and might have an impact of the recorded data. To avoid the disadvantages with PSG, it is important to make further investigations in low-cost home diagnostic systems. For this intention it is necessary to find suitable bio vital parameters for classifying sleep stages without any physical impairments at the same time. Due to the promising results in several publications we want to analyse existing methods for sleep stage classification based on the parameters body movement, heartbeat and respiration. Our aim was to find different behaviour patterns in the several sleep stages. Therefore, the average values of 15 wholenight PSG recordings -obtained from the ‘DREAMS Subjects Database’- where analysed in the light of heartbeat, body movement and respiration with 10 different methods.

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Author:Agnes Klein, Thomas PenzelORCiDGND, Natividad Martínez MadridORCiD, Ralf SeepoldORCiDGND
Parent Title (English):Proceedings of the XVIII JARCA Workshop on Qualitative Systems and Applications in Diagnosis, Robotics and Ambient Intelligence : Almería, Spain, 23-29 June 2016. - (CEUR workshop proceedings ; 1812)
Document Type:Conference Proceeding
Year of Publication:2017
Release Date:2019/08/02
First Page:14
Last Page:18
DDC functional group:570 Biowissenschaften, Biologie
Open Access?:Ja
Relevance:Keine peer reviewed Publikation (Wissenschaftlicher Artikel und Aufsatz, Proceeding, Artikel in Tagungsband)