Portable real-time support-vector-machine-based automated diagnosis and detection device of narcolepsy episodes.
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.
Gabran
S I
SI
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. sgabran@ieee.org
Moussa
W W
WW
Salama
M A
MA
George
C
C
D000465:Algorithms; D001185:Artificial Intelligence; D003199:Computer Systems; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation*; D004569:Electroencephalography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008904:Miniaturization; D018670:Monitoring, Ambulatory / Q000295:instrumentation*; D009290:Narcolepsy / Q000175:diagnosis*; D010363:Pattern Recognition, Automated / Q000379:methods; D017286:Polysomnography / Q000295:instrumentation*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*