Multimodal, automated detection of nocturnal motor seizures at home: Is a reliable seizure detector feasible?

Judith van AndelConstantin UngureanuJohan ArendsFrancis TanJohannes Van DijkGeorge PetkovStiliyan KalitzinThea GutterAl de WeerdBen VledderRoland ThijsGhislaine van ThielKit RoesFrans Leijten

Published in: Epilepsia open (2017)

It seems feasible to develop a detector with high sensitivity, but false alarm rates are too high for use in clinical practice. For further optimization, personalization of algorithms may be necessary.

Keyphrases

machine learning
clinical practice
deep learning
image quality
temporal lobe epilepsy
blood pressure
obstructive sleep apnea
loop mediated isothermal amplification
high throughput
pain management
label free
real time pcr
sleep apnea
monte carlo
sleep quality
magnetic resonance
physical activity
chronic pain