EEG-Based Brain-Computer Interfaces: Cognitive Analysis and Control Applications

Control applications based on Brain-Computer Interfaces (BCIs) have become a crucial area of interest for researchers in recent years. Due to long-term usability, easy implementation, and low costs, EEG has become the most acceptable neural signal for practical execution of BCIs. Brain-Computer Interface: Cognitive Analysis and Control Applications examines the technical approach in using brain signals for control applications. The research and techniques in this book discuss time and frequency domain analysis on deliberate eye-blinking data as the basis for EEG-triggering control applications. This book demonstrates experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units, interfacing with MATLAB software for acquisition and control. Details the techniques for multiple types of analysis (including ERP, scalp map, sub-band power, and independent component) to acquire data from deliberate eye-blinking Demonstrates how to use EEGs to develop more intuitive BCIs in real-time scenarios Includes algorithms and scenarios that interface with MATLAB software for interactive use

• | Author: Dipali Bansal, Rashima Mahajan
• | Publisher: Academic Press
• | Publication Date: Mar 18, 2019
• | Number of Pages: 220 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128146877
• | ISBN-13: 9780128146873