Application of support vector machine to prediction and detection of epilepsy seizure, using several channels
Detection of epilepsy seizures using support vector machine
Researcher: Sidaoui Boutkhil
Research Field: Mathematics and Computer Science/Machine Learning
Content of research:
Features extraction from EEG signal, Study of efficacy channels, Select machine learning tools, Epilepsy seizure detection, Epilepsy seizure prediction with different periods.
Innovation & Potential Applications:
Preventive detection of epilepsy seizure
Publish papers in epilepsy seizure prediction.
Contribution to other projects in machine learning.