Eeg/Erp Analysis: Methods and Applications

This book covers EEG/ERP processing and analysis and their various applications. It explains the different techniques used for preprocessing the EEG/ERP data for artifacts removal and the advanced techniques used for signal enhancement, source localization, data fusion, classification, and quantitative EEG. It also demonstrates successful clinical applications of EEG/ERP in various areas. The book provides clinicians with an understanding of the technical issues and theoretical approaches involved in EEG/ERP and engineers, as well as an understanding of its clinical application.

Author: Kamel Nidal
Publisher: CRC Press
Published: 04/27/2017
Pages: 334
Binding Type: Paperback
Weight: 1.04lbs
Size: 9.21h x 6.14w x 0.70d
ISBN: 9781138077089

About the Author

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.