Automated Differentiation between Epileptic and Nonepileptic Convulsive Seizures

作者：Beniczky Sandor^*; Conradsen Isa; Moldovan Mihai; Jennum Poul; Fabricius Martin; Benedek Krisztina; Andersen Noemi; Hjalgrim Helle; Wolf Peter

来源：Annals of Neurology, 2015, 77(2): 348-351.

DOI：10.1002/ana.24338

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.

• 出版日期2015-2