Application of support vector machine to prediction and detection of epilepsy seizure, using several channels

Application of support vector machine to prediction and detection of 

epilepsy seizure, using several channels

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.