The Modern Information System of Sleep Structure Detection in Polysomnographic Data Systems Approaches

The study presented in the article is aimed at developing automatic methods to identify different stages of night sleep in humans. Proposed information system is based on using of time-frequency analysis of polysomnographic data in post-processing mode. The preliminary analysis of data set presents...

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Bibliographic Details
Published in2021 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) pp. 765 - 768
Main Authors Zhuravlev, Maksim O., Ukolov, Rodion V., Runnova, Anastasiya E., Samatova, Kamila S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.09.2021
Subjects
Adaptive algorithms
Data systems
EEG
Electroencephalography
polysomnography
Rhythm
Sleep
Time-frequency analysis
Training
wavelet analysis
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Summary:The study presented in the article is aimed at developing automatic methods to identify different stages of night sleep in humans. Proposed information system is based on using of time-frequency analysis of polysomnographic data in post-processing mode. The preliminary analysis of data set presents a sufficiently high degree of accuracy and reliability when compared with the results of the evaluation of the professional medical somnologist. This approach to the analysis of polysomnographic signals can be considered as an additional study, for example, with apnoe control, and serve as an independent objective marker for assessing the risks of sleep structure's impairments.
DOI:10.1109/ITQMIS53292.2021.9642928