Feature-Based Machine Learning Ensemble for the Classification of Harmful Brain Activities
The classification of harmful brain activities (HBA) is crucial in treating and curing many neurological illnesses. Electroencephalography (EEG) signals provide a non-invasive approach for capturing cerebral activity. Harvard Medical School supplied the biggest dataset to date for the HBAC using EEG signals, i.e., the...