title: Accelerometry-based home monitoring for detection of nocturnal hypermotor seizures based on novelty detection.
abstract: Nocturnal home monitoring of epileptic children is often not feasible due to the cumbersome manner of seizure monitoring with the standard method of video/EEG-monitoring. We propose a method for hypermotor seizure detection based on accelerometers attached to the extremities. From the acceleration signals, multiple temporal, frequency, and wavelet-based features are extracted. After determining the features with the highest discriminative power, we classify movement events in epileptic and nonepileptic movements. This classification is only based on a nonparametric estimate of the probability density function of normal movements. Such approach allows us to build patient-specific models to classify movement data without the need for seizure data that are rarely available. If, in the test phase, the probability of a data point (event) is lower than a threshold, this event is considered to be an epileptic seizure; otherwise, it is considered as a normal nocturnal movement event. The mean performance over seven patients gives a sensitivity of 95.24% and a positive predictive value of 60.04%. However, there is a noticeable interpatient difference.
authors.forename: Kris
authors.initials: K
authors.lastname: Cuppens
authors.forename: Peter
authors.initials: P
authors.lastname: Karsmakers
authors.forename: Anouk
authors.initials: A
authors.lastname: Van de Vel
authors.forename: Bert
authors.initials: B
authors.lastname: Bonroy
authors.forename: Milica
authors.initials: M
authors.lastname: Milosevic
authors.forename: Stijn
authors.initials: S
authors.lastname: Luca
authors.forename: Tom
authors.initials: T
authors.lastname: Croonenborghs
authors.forename: Berten
authors.initials: B
authors.lastname: Ceulemans
authors.forename: Lieven
authors.initials: L
authors.lastname: Lagae
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
authors.forename: Bart
authors.initials: B
authors.lastname: Vanrumste
mesh_terms: D061725:Accelerometry / Q000379:methods*; D000293:Adolescent; D000465:Algorithms; D002648:Child; D002675:Child, Preschool; D004569:Electroencephalography / Q000379:methods; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans; D015233:Models, Statistical; D008991:Monitoring, Physiologic / Q000379:methods*; D009068:Movement / Q000502:physiology; D012680:Sensitivity and Specificity