Automated Recognition of Sleep Stages by Electroencephalograms

Author

Bezruk, Valeriy

Author_Institution

Kharkov Nat. Univ. of Radio Electron., Kharkov

fYear

2007

fDate

19-24 Feb. 2007

Firstpage

58

Lastpage

58

Abstract

Peculiarities of solving the problems of the automated recognition of the sleep stages by electroencephalograms with various artifacts are considered. It is offered to use the autoregressive algorithm for recognition of the specified random signals in the presence of the unknown signals. Results of the sleep stages recognition algorithm investigations using the method of statistical simulation based on the EEG sampling for six stages of sleep are given.

Keywords

autoregressive processes; bioelectric potentials; electroencephalography; medical signal processing; sleep; statistical analysis; automated recognition; autoregressive algorithm; electroencephalogram; sleep stages; statistical simulation method; Brain modeling; Cardiac disease; Cardiovascular system; Computational modeling; Computer simulation; Electroencephalography; Nervous system; Psychology; Sampling methods; Sleep; Sleep stages; algorithm; automated recognition; electroencephalogram; simulation; specialized computer system;

fLanguage

English

Publisher

ieee

Conference_Titel

CAD Systems in Microelectronics, 2007. CADSM '07. 9th International Conference - The Experience of Designing and Applications of

Conference_Location

Lviv-Polyana

Print_ISBN

966-533-587-0

Type

conf

DOI

10.1109/CADSM.2007.4297479

Filename

4297479