Identification of basic patterns for an automatic classification of sleep stages in infants

Author

Holzmann, Carlos ; Perez, Claudio ; Peirano, Patricio ; Ehijo, Aifonso ; Pizarro, Felipe

Author_Institution

Dept. of Electr. Eng., Chile Univ., Santiago, Chile

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1598

Abstract

This work proposes methods to detect sleep spindles in the electroencephalographic activity, rapid eye movements (REM) in the electrooculographic activity, and chin muscle tone in the electromyographic activity in digital polysomnographic recordings. This is a first step in the design of an Expert System for automatic classification of sleep stages in normal infants

Keywords

bioelectric potentials; electroencephalography; electromyography; eye; medical expert systems; medical signal processing; automatic classification; basic patterns identification; chin muscle tone; digital polysomnographic recordings; electrooculographic activity; expert system design; normal infants; sleep stages; Digital recording; Electroencephalography; Electromyography; Electrooculography; Expert systems; Low pass filters; Magnetic separation; Muscles; Pediatrics; Sleep;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647569

Filename

647569