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Author:   Kamel Nidal (University of Teknology Petronas, Malaysia) ,  Aamir Saeed Malik
Publisher:   Taylor & Francis Inc
Imprint:   CRC Press Inc
Dimensions:   Width: 15.60cm , Height: 2.30cm , Length: 23.40cm
Weight:   0.612kg
ISBN:  

9781482224696

ISBN 10:   1482224690
Pages:   334
Publication Date:   23 October 2014
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Reviews

... good coverage of topics from some basic ideas such as the genesis of EEG/ ERP to advanced applications including computer-brain interface, neuro rehabilitation, and neuro feedback. I am delighted to note that applied signal processing concepts have been explained so nicely in an easy-to-understand way that is certainly a great treat for nonmathematically oriented researchers such as neuro scientists, cognitive scientists, psychologists, and psychiatrists. --Prof. D (Nanda) Nandagopal, University of South Australia, Mawson Lakes ERP/EEG Analysis: Methods and Applications is a brilliant book. It is a compendium of the latest brain mapping methods, techniques, and concepts presented in a self-explanatory and easy-to-understand format. In a clear exposition of difficult areas, this inspirational book demonstrates how advanced methods and techniques employed in the processing of measurements of brain activities can be employed for monitoring process of brain disorders and dysfunctions. This comprehensive volume adequately covers brain mapping technologies, describing uses for the biomedical engineer and neuroscientist. Clinical applications of EEG/ERP in neurological disorders, psychophysiological disorders, and severe brain injuries are conspicuously presented, which makes this book essential reading for those with great interest in mapping of brain activity in health and disease. In addition, the book's repertoire contains specialist areas pertaining to integrative modalities, neurofeedback, quantitative EEG, and the brain-computer interface. Written by world renowned experts, this book is an essential reference piece for all scientists and medical engineers interested in deciphering the neural code through neural signaling, undoubtedly to benefit a more comprehensive understanding of the brain. --Roman R. Poznanski, Rockefeller University, New York, USA ...this compendium of EEG/event-related brain potential analysis methods and applications presents a large amount of specialized information as clearly as its technical nature allows ... it helped me to understand how a number of analytic techniques actually work, along with the tradeoffs implicit in their use. Its value as a methodological reference clearly exceeds its bulk. And it delivers some interesting, non-mathematical thoughts along the way. -Journal of Clinical Neurophysiology, February 2016

... good coverage of topics from some basic ideas such as the genesis of EEG/ ERP to advanced applications including computer-brain interface, neuro rehabilitation, and neuro feedback. I am delighted to note that applied signal processing concepts have been explained so nicely in an easy-to-understand way that is certainly a great treat for nonmathematically oriented researchers such as neuro scientists, cognitive scientists, psychologists, and psychiatrists. --Prof. D (Nanda) Nandagopal, University of South Australia, Mawson Lakes ERP/EEG Analysis: Methods and Applications is a brilliant book. It is a compendium of the latest brain mapping methods, techniques, and concepts presented in a self-explanatory and easy-to-understand format. In a clear exposition of difficult areas, this inspirational book demonstrates how advanced methods and techniques employed in the processing of measurements of brain activities can be employed for monitoring process of brain disorders and dysfunctions. This comprehensive volume adequately covers brain mapping technologies, describing uses for the biomedical engineer and neuroscientist. Clinical applications of EEG/ERP in neurological disorders, psychophysiological disorders, and severe brain injuries are conspicuously presented, which makes this book essential reading for those with great interest in mapping of brain activity in health and disease. In addition, the book's repertoire contains specialist areas pertaining to integrative modalities, neurofeedback, quantitative EEG, and the brain-computer interface. Written by world renowned experts, this book is an essential reference piece for all scientists and medical engineers interested in deciphering the neural code through neural signaling, undoubtedly to benefit a more comprehensive understanding of the brain. --Roman R. Poznanski, Rockefeller University, New York, USA

Author Information

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.

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