11: A novel metaheuristic optimization method for robust spatial filter designation and classification of speech imagery tasks in EEG Brain-Computer Interface

Mohammad Hassan Moradi    Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

Speech imagery has recently been introduced as an independent mental strategy in brain-computer interface (BCI). In these systems, the statistical distribution of the data could differ across subjects as well as across sessions for an individual subject. The issue of feature selection for a long time has been addressed in order to enhance the discriminability in features in EEG signal processing as well as the reduction in complexity with all its aspects. ...

Get Artificial Intelligence-Based Brain-Computer Interface now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.