Classifying Epileptic Seizure Events from EEG Signals by a Lightweight Machine Learning Model

• DOI: 10.20944/preprints202306.1255.v1
• Publication Date: 2023-06-19T02:25:25Z
• Authors: Josh Schilling; Naveenkumar G Ven...; Masudul H Imtiaz
• Keywords: Epileptic seizure

Due to the large interest and need, there has been much recent work in epileptic seizure detection using machine learning models. Using un-intrusive measurements of brain activity such as electroencephalograms (EEG) allowed for datasets be constructed used computational intelligence identify events within EEG data. In this paper, we use a publicly avaibale dataset develop lightweight Machine supervised model (simple Decision Tree) classify from waves. The performance developed was compared with complex ML (Support Vector Machine). cross-validated Tree performed better event classification an overall accuracy 91.17%. This will allow developing mobile applications user comfort