title: Classification of convulsive psychogenic non-epileptic seizures using histogram of oriented motion of accelerometry signals.
abstract: A seizure is caused due to sudden surge of electrical activity within the brain. There is another class of seizures called psychogenic non-epileptic seizure (PNES) that mimics epilepsy, but is caused due to underlying psychology. The diagnosis of PNES is done using video-electroencephalography monitoring (VEM), which is a resource intensive process. Recently, accelerometers have been shown to be effective in classification of epileptic and non-epileptic seizures. In this work, we propose a novel feature called histogram of oriented motion (HOOM) extracted from accelerometer signals for classification of convulsive PNES. An automated algorithm based on HOOM is proposed. The algorithm showed a high sensitivity of (93.33%) and an overall accuracy of (80%) in classifying convulsive PNES.
authors.forename: Shitanshu
authors.initials: S
authors.lastname: Kusmakar
authors.forename: Jayavardhana
authors.initials: J
authors.lastname: Gubbi
authors.forename: Aravinda S
authors.initials: AS
authors.lastname: Rao
authors.forename: Bernard
authors.initials: B
authors.lastname: Yan
authors.forename: Terence J
authors.initials: TJ
authors.lastname: O'Brien
authors.forename: Marimuthu
authors.initials: M
authors.lastname: Palaniswami
mesh_terms: D061725:Accelerometry; D001921:Brain; D003937:Diagnosis, Differential; D004569:Electroencephalography; D004827:Epilepsy; D006801:Humans; D012640:Seizures; D014741:Video Recording