Title :
Automated Recognition of Sleep Stages by Electroencephalograms
Author_Institution :
Kharkov Nat. Univ. of Radio Electron., Kharkov
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;
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
DOI :
10.1109/CADSM.2007.4297479
