A natural evolution optimization based deep learning algorithm for neurological disorder classification.
Journal:
Bio-medical materials and engineering
Published Date:
Jan 1, 2020
Abstract
BACKGROUND: A neurological disorder is one of the significant problems of the nervous system that affects the essential functions of the human brain and spinal cord. Monitoring brain activity through electroencephalography (EEG) has become an important tool in the diagnosis of brain disorders. The robust automatic classification of EEG signals is an important step towards detecting a brain disorder in its earlier stages before status deterioration.