Neural Seizure Detection

Linear and nonlinear feature extraction for neural seizure detection

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Elgammal, M. et al., "Linear and nonlinear feature extraction for neural seizure detection" In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), 2018, 795. In this paper, both linear and nonlinear features have been reviewed with linear support vector machine (SVM) classifier for neural seizure detection. The work introduced in the paper includes performance measurement through different metrics: accuracy, sensitivity, and specificity of multiple linear and nonlinear features with linear support vector machine (SVM). A comparison is performed between the

A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection

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Elgammal, M, et al., "A Comparison of Artificial Neural Network (ANN) and Support Vector Machine (SVM) Classifiers for Neural Seizure Detection". IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) 2019, 646. In this paper, two different classifiers are software and hardware implemented for neural seizure detection. The two techniques are support vector machine(SVM) and artificial neural networks(ANN). The two techniques are pretrained on software and only the classifiers are hardware implemented and tested. A comparison of the two techniques is performed on the levels