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

Anticipated Achievement:

Publish papers in epilepsy seizure prediction.
Contribution to other projects in machine learning.