Application of Morphological Filtering with Modifications in Linear Discriminant Analysis Classifier for Epilepsy Classification from EEG Signals

Author:

Rajaguru Harikumar,Prabhakar Sunil Kumar

Publisher

Springer International Publishing

Reference16 articles.

1. Prabhakar, S.K., Rajaguru, H.: Entropy based PAPR reduction for STTC system utilized for classification of epilepsy from EEG signals using PSD and SVM. In: IFBME Proceedings (Springer), 3rd International Conference on Movement, Health and Exercise (MoHE), Malaysia, 28–30 September 2016 (2016)

2. Prabhakar, S.K., Rajaguru, H.: Comparison of fuzzy output optimization with expectation maximization algorithm and its modification for epilepsy classification. In: International Conference on Cognition and Recognition (ICCR 2016), Mysore, India, 30–31 December 2016 (2016)

3. Prabhakar, S.K., Rajaguru, H.: Performance analysis of ApEn as a feature extraction technique and time delay neural networks, multi layer perceptron as post classifiers for the classification of epilepsy risk levels from EEG signals. In: Computational Intelligence, Cyber Security and Computational Models, Advances in Intelligent Systems and Computing, Coimbatore, India, Series vol. 412, pp. 89–97. Springer Verlag (2015)

4. Garg, S., Narvey, R.: Denoising and feature extraction of eeg signal using wavelet transform. Int. J. Eng. Sci. Technol. 5, 1249–1253 (2013)

5. Bhatia, P., Sharma, A.: Different techniques for extracting brain signals for human machine interface, a review. Aust. J. Inf. Technol. Commun. 2(2), 31–34 (2015)

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1. A novel peak signal feature segmentation process for epileptic seizure detection;International Journal of Information Technology;2020-10-12

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