Patient-Specific Seizure Detection Method using Hybrid Classifier with Optimized Electrodes

• Published in: Journal of medical systems Vol. 43; no. 5; pp. 121 - 7
• Main Authors: Selvakumari, R. Shantha, Mahalakshmi, M., Prashalee, P.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2019; Springer Nature B.V
• Subjects: Bayesian analysis; Computer applications; Convulsions & seizures; EEG; Electrodes; Electroencephalography; Graphical user interface; Health Informatics; Health Sciences; Medicine; Medicine & Public Health; Occipital lobes; Patient Facing Systems; Principal components analysis; Sectioning; Seizing; Statistics for Life Sciences; Optimized electrodes; Poincare section; Naive Bayes; SVM; High dimensional phase space; Principal component analysis

In this paper the EEG signal is analyzed by reconstructing the time series EEG signal in High dimensional Phase Space. The computational complexity in higher dimension is reduced by Principal Component Analysis for the High dimensional Phase Space output. Poincare sectioning is done for the first an...