Classification of EEG signals using Machine learning algorithms

Author:

Suganyadevi S.1,Shanmuga Priya S.2,Kiruba B.3,Gomathi M.4,Kalshetty Jagadevi. N.5

Affiliation:

1. KPR Institute of Engineering and Technology,Department of ECE,Coimbatore,India

2. Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology,Department of CSE,Chennai,India

3. Sri Krishna College of Engineering and Technology,Department of Artificial Intelligence and Data Science,Coimbatore,India

4. Sri Eshwar College of Engineering,Department of Computer Science and Business Systems,Coimbatore,India

5. Nitte Meenakshi Institute of Technology,Department of Computer Science & Engineering,Bengaluru,India

Publisher

IEEE

Reference30 articles.

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2. Classification of epileptic EEG signals using pso based artificial neural network and tunable-Q wavelet transform;st;Journal of Biocybernetics and Biomedical Engineering,2020

3. Computer Vision and Recognition Systems

4. Seizure type classification using EEG signals and machine learning: setting a benchmark;s;IEEE Signal Processing in Medicine and Biology Symposium,2020

5. Classification of epileptic EEG recordings using signal transforms and convolutional neural networks;r;Comput Biol Med,2019

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