Portable real-time support-vector-machine-based automated diagnosis and detection device of narcolepsy episodes

Author

Gabran, S.R.I. ; Moussa, W.W. ; Salama, M.M.A. ; George, C.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

903

Lastpage

906

Abstract

Individuals with certain sleep disorders (e.g. narcolepsy) are subject to uncontrollable sleep episodes accompanied by cataplexy and thus these patients are more vulnerable to household and occupational accidents. Currently, narcolepsy has no cure, and this research pursues developing a portable medical device to assist in narcolepsy treatment through providing diagnosis, real-time detection and logging of narcolepsy episodes.

Keywords

electro-oculography; electroencephalography; electromyography; medical disorders; medical signal detection; medical signal processing; neurophysiology; patient diagnosis; sleep; support vector machines; cataplexy; household accidents; narcolepsy episode detection; narcolepsy treatment; occupational accidents; portable real-time automated diagnosis; sleep disorders; support vector machine; uncontrollable sleep episodes; Algorithms; Artificial Intelligence; Computer Systems; Diagnosis, Computer-Assisted; Electroencephalography; Equipment Design; Equipment Failure Analysis; Humans; Miniaturization; Monitoring, Ambulatory; Narcolepsy; Pattern Recognition, Automated; Polysomnography; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5334518

Filename

5334518