Automated differentiation between epileptic and nonepileptic convulsive seizures

Sándor Beniczky*, Isa Conradsen, Mihai Moldovan, Poul Jennum, Martin Fabricius, Krisztina Benedek, Noémi Andersen, Helle Hjalgrim, Peter Wolf

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftArtikelForskningpeer review


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.

Sider (fra-til)348-51
Antal sider4
TidsskriftAnnals of Neurology
Udgave nummer2
StatusUdgivet - feb. 2015


Udforsk hvilke forskningsemner 'Automated differentiation between epileptic and nonepileptic convulsive seizures' indeholder.