Empirical analysis of Different Dimensionality Reduction and Classification Techniques for Epileptic Seizure detection

no code implementations • 17 Feb 2023 • Rabel Guharoy, Nanda Dulal Jana, Suparna Biswas, Lalit Garg

The simulation results provide 100% accuracy for the LDA and NB combination outperforming accuracy with other classifiers combinations, including 89. 17% for LDA and SVM, 80. 42% for LDA and KNN, 89. 92% for PCA and NB, 85. 58% PCA and SVM, 80. 42% PCA and KNN, 82. 33% for ICA and NB, 90. 42% for ICA and SVM, 90% for ICA and KNN.

Dimensionality Reduction EEG +2

An Efficient Epileptic Seizure Detection Technique using Discrete Wavelet Transform and Machine Learning Classifiers

no code implementations • 26 Sep 2021 • Rabel Guharoy, Nanda Dulal Jana, Suparna Biswas

After the extraction of the coefficients, principal component analysis (PCA) has been applied on different sub-bands and then a feature level fusion technique is used to extract the important features in low dimensional feature space.

EEG Seizure Detection

Kernel Based Estimation of Spectral Risk Measures

no code implementations • 8 Mar 2019 • Suparna Biswas, Rituparna Sen

We propose a kernel based estimator of SRM.