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In this study on the analysis of EEG signals for seizure prediction, we used a combination of statistically relevant theory and nonlinear dynamics to maximize the sensitivity of nonlinear analysis and improved prediction accuracy (PA) and effectiveness.First, a physiological reference range of approximate entropy (ApEn) was set up based on normal EEG data. Second, using the concept of global optimization,...
In order to reduce damage from invasive check and save resources during iEEG (intracranial electroencephalogram) collection, especially when large area of craniotomy is operated, we combined nonlinear dynamics with medical statistical methods to carry out epileptic foci localization by analyzing scalp EEG (electroencephalogram) which can be collected by noninvasive way. Firstly, ApEn (approximate...
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