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

Author:   Dipali Bansal (Dean of Engineering, Graphic Era (Deemed to be University), Dehradun, India) ,  Rashima Mahajan (Associate Professor, Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India)
Publisher:   Elsevier Science Publishing Co Inc
ISBN:  

9780128146873


Pages:   220
Publication Date:   18 March 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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EEG-Based Brain-Computer Interfaces: Cognitive Analysis and Control Applications


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Overview

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.

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Author:   Dipali Bansal (Dean of Engineering, Graphic Era (Deemed to be University), Dehradun, India) ,  Rashima Mahajan (Associate Professor, Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.410kg
ISBN:  

9780128146873


ISBN 10:   0128146877
Pages:   220
Publication Date:   18 March 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Introduction 2. EEG based Brain Computer Interfacing (BCI) 3. Real time EEG Acquisition 4. Cognitive Analysis: Time Domain 5. Cognitive Analysis: Frequency Domain 6. EEG Based BCI—Control Applications 7. Conclusion

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Author Information

Dr. Dipali Bansal is the Dean of Engineering at Graphic Era (Deemed to be University), Dehradun, India. She is part of a curiosity-driven research group working in the field of bio-signal processing that brings together experimental and theoretical techniques and approaches in acquiring and analyzing human physiological parameters, namely ECG, EMG, EEG signals, using professional tools like MATLAB and LabVIEW. She got her Bachelor’s degree from BIT Sindri and obtained a PhD in Bio-signal Processing from Jamia Millia Islamia Central University, New Delhi, India. In more than two decades of her professional career, she has honed her skills as an academician, a researcher, and also as an administrator. 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.

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