Automated Differentiation between Epileptic and Nonepileptic Convulsive Seizures

被引:32
作者
Beniczky, Sandor [1 ,2 ]
Conradsen, Isa [1 ,3 ]
Moldovan, Mihai [4 ,5 ]
Jennum, Poul [6 ]
Fabricius, Martin [7 ,8 ]
Benedek, Krisztina [7 ]
Andersen, Noemi [9 ]
Hjalgrim, Helle [10 ,11 ]
Wolf, Peter [12 ]
机构
[1] Danish Epilepsy Ctr, Dept Clin Neurophysiol, Dianalund, Denmark
[2] Aarhus Univ Hosp, Dept Clin Neurophysiol, DK-8000 Aarhus, Denmark
[3] IctalCare AS, Horsholm, Denmark
[4] Univ Copenhagen, Fac Hlth Sci, Dept Neurosci & Pharmacol, Copenhagen, Denmark
[5] Carol Davila Univ Med & Pharm, Div Physiol & Fundamental Neurosci, Bucharest, Romania
[6] Univ Copenhagen, Glostrup Hosp, Fac Hlth Sci, Danish Ctr Sleep Med,Dept Clin Neurophysiol, Glostrup, Denmark
[7] Univ Copenhagen, Glostrup Hosp, Dept Clin Neurophysiol, Glostrup, Denmark
[8] Univ Copenhagen, Rigshosp, Dept Clin Neurophysiol, Copenhagen, Denmark
[9] Univ Copenhagen, Glostrup Hosp, Dept Neurol, Glostrup, Denmark
[10] Danish Epilepsy Ctr, Res Unit, Dianalund, Denmark
[11] Univ Southern Denmark, Inst Reg Hlth Res, Odense, Denmark
[12] Danish Epilepsy Ctr, Dept Neurol, Dianalund, Denmark
关键词
MUSCLE ACTIVATION; DIAGNOSIS;
D O I
10.1002/ana.24338
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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.
引用
收藏
页码:348 / 351
页数:4
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