Automatic identification of epileptic seizures from EEG signals using linear programming boosting

• A single lead EEG based automated epilepsy seizure screening method is proposed.• A novel signal processing technique, namely CEEMDAN is employed.• We introduce LPBoost to classify epileptic seizures for the first time.• Efficacy of the method is confirmed by statistical and graphical anal yses.• The performance of the proposed scheme, compared to the existing ones is promising.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research