Spectral Density Analysis with Logarithmic Regression Dependent Gaussian Mixture Model for Epilepsy Classification
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-37218-7_60
Reference16 articles.
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2. Prabhakar, S.K., Rajaguru, H.: Performance comparison of fuzzy mutual information as dimensionality reduction techniques and SRC, SVD and approximate entropy as post classifiers for the classification of epilepsy risk levels from EEG signals. In: Proceedings of 2015 IEEE Student Symposium in Biomedical Engineering and Sciences (ISSBES), November 4. Universiti Teknologi Mara, Malaysia (2015)
3. Rajaguru, H., Prabhakar, S.K.: Non linear ICA and logistic regression for classification of epilepsy from EEG signals. In: IEEE Proceedings of the International Conference on Electronics, Communication and Aerospace Technology (ICECA 2017), Coimbatore, India, pp. 577–580 (2017)
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