The Application of Machine Learning Algorithms to the Classification of EEG Signals

Author:

Gurumoorthy Sasikumar1,Avikkal Saritha2,M Rani3,Radha K4,N Rajesh5

Affiliation:

1. J.J.College of Engineering and Technology,Department of Computer Science and Engineering,Trichy,India

2. GITAM School of Technology GITAM University,Department of Computer Science & Engineering,India

3. Hyderabad Institute of Technology and Management,Department of Electronics and Communication Engineering,Telangana,India

4. K L University, Vadeeshwaram,Department of Computer Science & Engineering,Vijayawada,India

5. Nitte Meenakshi Institute of Technology,Department of Electronics and Communication Engineering,Bengaluru,India

Publisher

IEEE

Reference19 articles.

1. A Survey on Identification of Microaneurysm in Retinal Image using Support Vector Machine;International Journal of Applied Engineering Research Research India Publications,2015

2. Context-based intelligent recommendation by code reuse for smart decision support and cognitive adaptive systems

3. Bruxism, EEG-EMG relationship;gorur;Science of Clinical Medicine,2017

4. Overview on Deep Neural Networks: Architecture, Application and Rising Analysis Trends

5. Multimodal Image Fusion in Biometric Authentication

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1. Design and Implementation for EEG Artifact Detection and Removal Technique for Neuro Training Application;Advances in Medical Technologies and Clinical Practice;2024-02-23

2. Smart Detection and Removal of Artifacts in Cognitive Signals Using Biomedical Signal Intelligence Applications;Quantum Innovations at the Nexus of Biomedical Intelligence;2023-12-29

3. Computational Cognitive Analysis for Intelligent Engineering Using EEG Applications;Advances in Civil and Industrial Engineering;2023-11-24

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