EEG-Based Brain-Computer Interfaces Cognitive Analysis and Control Applications
Auteurs : Bansal Dipali, Mahajan Rashima
EEG-Based Brain-Computer Interface: Cognitive Analysis and Control Applications provides a technical approach to using brain signals for control applications, along with the EEG-related advances in BCI. 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. In addition, the book provides experimental scenarios and features algorithms for acquiring real-time EEG signals using commercially available units that interface with MATLAB software for acquisition and control.
1. Introduction2. EEG based Brain Computer Interfacing (BCI)3. Real time EEG Acquisition4. Cognitive Analysis: Time Domain5. Cognitive Analysis: Frequency Domain6. EEG Based BCI—Control Applications7. Conclusion
Dr. Rashima possesses 14 years of strong professional record in teaching/research at institutes of high repute including Manav Rachna International Institute of Research and Studies, GD Goenka University Gurgaon and dedicated research centre like National Brain Research Centre (NBRC) Manesar, India. She did her Masters and Bachelors in Electronics & Communication Engineering. During her PhD work, she has worked in the field of bio-signal processing by acquiring and analyzing human cardiac (ECG) and neural (EEG) responses. Her research interests include biomedical signal processing especially brain mapping via EEG/MRI and Image processing towards development of automated diagnostic tools using MATLAB/Python as signal processing tools. She has published and contributed more than 35 quality publications in International refereed journals, conferences and as book chapters.
- Details 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
Date de parution : 03-2019
Ouvrage de 220 p.
19x23.3 cm
Thèmes d’EEG-Based Brain-Computer Interfaces :
Mots-clés :
Acquisition techniques; BCI applications; BCI control applications; BCI technologies; Brain-computer interface; Brain-computer Interface; Channel activity; Classification of brain signals; Control applications; EEG; EEG acquisition; EEG-based BCI; Electroencephalogram; Emotiv unit; Event-related potential; Eyeblink; Eyeblink-based BCI; Feature extraction; Frequency domain; Frequency-domain analysis; Future directions in BCI; LabVIEW; MATLAB; Open-source ware; Real time; Signal acquisition; Simulink; Spatial domain; Spectral power; Time domain; Time-domain analysis