Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5334518
