Adaptive boost LS-SVM classification approach for time-series signal classification in epileptic seizure diagnosis applications

Expert Systems with Applications(2020)

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摘要
•Adaptive Boost Support Vector Machine (AB-LS-SVM) is designed to predict epilepsy.•AB-LS-SVM classifier adopts covariance matrix to reduce EEG signal dimensionality.•AB-LS-SVM classifier detects epileptic patterns with high classification accuracy.•AB-LS-SVM classifier utilizes extracted EEG features to identify epilepsy.•AB-LS-SVM classifier has practical implications in healthcare & expert systems.
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关键词
Epileptic seizure,Health informatics,Electroencephalogram,Covariance,Eigen values,Adaptive Boosting Least Square-Support Vector Machine,AB-LS-SVM
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