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Automated differentiation between epileptic and nonepileptic convulsive seizures
Author(s) -
Beniczky Sándor,
Conradsen Isa,
Moldovan Mihai,
Jennum Poul,
Fabricius Martin,
Benedek Krisztina,
Andersen Noémi,
Hjalgrim Helle,
Wolf Peter
Publication year - 2015
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.24338
Subject(s) - psychogenic disease , epilepsy , electroencephalography , gold standard (test) , psychology , tonic (physiology) , electromyography , medicine , psychiatry , neuroscience
Our objective was the clinical validation of an automated algorithm based on surface electromyography (EMG) for differentiation between convulsive epileptic and psychogenic nonepileptic seizures (PNESs). Forty‐four consecutive episodes with convulsive events were automatically analyzed with the algorithm: 25 generalized tonic–clonic seizures (GTCSs) from 11 patients, and 19 episodes of convulsive PNES from 13 patients. The gold standard was the interpretation of the video‐electroencephalographic recordings by experts blinded to the EMG results. The algorithm correctly classified 24 GTCSs (96%) and 18 PNESs (95%). The overall diagnostic accuracy was 95%. This algorithm is useful for distinguishing between epileptic and psychogenic convulsive seizures. Ann Neurol 2015;77:348–351.