Ictal quantitative surface electromyography correlates with postictal EEG suppression.

ABSTRACT: OBJECTIVE:To test the hypothesis that neurophysiologic biomarkers of muscle activation during convulsive seizures reveal seizure severity and to determine whether automatically computed surface EMG parameters during seizures can predict postictal generalized EEG suppression (PGES), indicating increased risk for sudden unexpected death in epilepsy. Wearable EMG devices have been clinically validated for automated detection of generalized tonic-clonic seizures. Our goal was to use quantitative EMG measurements for seizure characterization and risk assessment. METHODS:Quantitative parameters were computed from surface EMGs recorded during convulsive seizures from deltoid and brachial biceps muscles in patients admitted to long-term video-EEG monitoring. Parameters evaluated were the durations

SUBMITTER: Arbune AA 

PROVIDER: S-EPMC7455333 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature