EEG/ERP Analysis
Crc Press Inc (Verlag)
978-1-4822-2469-6 (ISBN)
This book explores the recent advances involved in EEG/ERP analysis for brain monitoring, details successful EEG and ERP applications, and presents the neurological aspects in a simplified way so that those with an engineering background can better design clinical instruments. It consists of 13 chapters and includes the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. In addition, some of the chapters are contributed by neurologists and neurosurgeons providing the clinical aspects of EEG/ERP analysis.
Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification
Examines new applications related to 3D display devices
Includes MATLAB® codes
EEG/ERP Analysis: Methods and Applications
is a resource for biomedical and neuroscience scientists who are working on neural signal processing and interpretation, and biomedical engineers who are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and postgraduate students doing research in neural engineering, as well as electronic engineers in neural signal processing and instrumentation.
Dr. Nidal Kamel received his PhD (Hons) from the Technical University of Gdansk, Poland, in 1993. Since 1993 he has been involved in research projects related to brain signal processing, estimation theory, noise reduction, optimal filtering, and pattern recognition. His present research includes developing a technique for epileptic seizure detection, biomarkers for stress and major depressive disorder, and a high resolution technique for brain sources localization. Dr. Kamel is an associate professor at Universiti Teknologi PETRONAS and he is the leader of Neuro-Signal Processing Group at the Center of Image and Signal Intelligent Research (CISIR). In addition, he has published more than 150 research articles in various publications. Dr. Aamir Saeed Malik received his PhD in information and mechatronics from Gwangju Institute of Science & Technology in South Korea. Dr. Malik is an associate professor at the Department of Electrical and Electronic Engineering and director of mission oriented research biomedical technology at Universiti Teknologi PETRONAS. He has more than 200 publications in journals and conferences, three books, 16 patents, 34 awards and a cumulative impact factor greater than 150. His research interests include biomedical signal and image processing, and computer vision. He developed methods for acne grading, partial epileptic seizure prediction, tracking EEG signals and biomarkers for major depressive disorder.
Introduction to EEG and ERP Signals. Fundamentals of EEG Signal Processing. Event-Related Potentials. EEG Source Localization. Epilepsy Detection and Monitoring. Monitoring Neurological Injury by qEEG. qEEG Brain–based Computer Interface. Major Depressive Disorder. EEG and fMRI data Fusion. Memory Retention and Recall Processes. Neurofeedback. Future Aspects of EEG and ERP Signals.
| Zusatzinfo | 19 Tables, black and white; 86 Illustrations, black and white |
|---|---|
| Verlagsort | Bosa Roca |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 612 g |
| Themenwelt | Geisteswissenschaften ► Psychologie ► Biopsychologie / Neurowissenschaften |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Neurologie | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Radiologie / Bildgebende Verfahren | |
| Naturwissenschaften ► Biologie ► Zoologie | |
| ISBN-10 | 1-4822-2469-0 / 1482224690 |
| ISBN-13 | 978-1-4822-2469-6 / 9781482224696 |
| Zustand | Neuware |
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