An Extensive Review of Machine Learning Techniques for EEG Signal Processing

Author:

Anita M1,Meena Kowshalya A.2,Maheswari B.3,Muthuram A.4

Affiliation:

1. S.A. Engineering College,Department of Computer Science and Engineering,Chennai,India

2. Government College of Technology,Department of Computer Science and Engineering,Coimbatore,India

3. Rajalakshmi Institute of Technology,Department of Computer Science and Engineering,Chennai,India

4. Hindustan Institute of Technology and Science,Department of Aeronautical Engineering,Chennai,India

Publisher

IEEE

Reference15 articles.

1. A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal

2. Towards brain big data classification: Epileptic EEG identification with a lightweight VGGNet on global MIC;ke;IEEE Access Special Section on Cyber-Physical-Social Computing and Networking,2017

3. A Novel Signal Processing Based Driver Drowsiness Detection System;kumar;IoT in Social Mobile Analytics and Cloud,2021

4. Optimized Deep Learning for EEG Big Data and Seizure Prediction BCI via Internet of Things

5. Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network;yu;The Journal of Supercomputing Springer,2018

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