Quantitative EEG Analysis Methods and Applications
Published in April 2009
Book
Hardback
300 pages
978-1-59693-204-3 (ISBN)
Description
Quantitative EEG (electroencephalography) is a cutting-edge technique used for topographic display and analysis of brain electrophysiological data. The use of quantitative EEG for diagnosing various psychiatric disorders is beginning to gain wide acceptance among professionals and researchers working in this area. This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, readers find coverage of the latest and most popular application in the field, including mental and neurological disease detection/monitoring, physiological and cognitive phenomena research, and fMRI.
Quantitative EEG (electroencephalography) is a cutting-edge technique used for topographic display and analysis of brain electrophysiological data. The use of quantitative EEG for diagnosing various psychiatric disorders is beginning to gain wide acceptance among professionals and researchers working in this area. This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, readers find coverage of the latest and most popular application in the field, including mental and neurological disease detection/monitoring, physiological and cognitive phenomena research, and fMRI.
Quantitative EEG (electroencephalography) is a cutting-edge technique used for topographic display and analysis of brain electrophysiological data. The use of quantitative EEG for diagnosing various psychiatric disorders is beginning to gain wide acceptance among professionals and researchers working in this area. This authoritative volume provides an overview of basic and advanced techniques used in quantitative EEG (qEEG) analysis. The book provides a wide range of mathematical tools used in qEEG, from single channel discriptors to the interactions among multi-channel EEG analysis. Moreover, readers find coverage of the latest and most popular application in the field, including mental and neurological disease detection/monitoring, physiological and cognitive phenomena research, and fMRI.
More details
Edition
Unabridged edition
Language
English
Place of publication
Norwood
United States
Target group
Professional and scholarly
Edition type
Unabridged edition
ISBN-13
978-1-59693-204-3 (9781596932043)
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Schweitzer Classification
Other editions
Additional editions
Shanbao Tong
Quantitative EEG Analysis Methods and Applications
E-Book
01/2009
1st Edition
Artech House
€148.99
Available for download
Persons
Shanbao Tong is an associate professor in the Biomedical Engineering Department at Shanghai Jiaotong University. Dr. Tong is an associate editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering. He received his M.S. in turbine machine engineering and Ph.D. in biomedical engineering from Shanghai Jiaotong University. Nitish V. Thankor is a professor of biomedical engineering in the School of Medicine at Johns Hopkins University. Dr. Thankor serves on the editorial board of several journals, including the IEEE Transactions on Biomedical Engineering and Annals of Biomedical Engineering. He received a Ph.D. in electrical and computer engineering from the University of Wisconsin.
Shanbao Tong is an associate professor in the Biomedical Engineering Department at Shanghai Jiaotong University. Dr. Tong is an associate editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering. He received his M.S. in turbine machine engineering and Ph.D. in biomedical engineering from Shanghai Jiaotong University. Nitish V. Thankor is a professor of biomedical engineering in the School of Medicine at Johns Hopkins University. Dr. Thankor serves on the editorial board of several journals, including the IEEE Transactions on Biomedical Engineering and Annals of Biomedical Engineering. He received a Ph.D. in electrical and computer engineering from the University of Wisconsin.
Shanbao Tong is an associate professor in the Biomedical Engineering Department at Shanghai Jiaotong University. Dr. Tong is an associate editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering. He received his M.S. in turbine machine engineering and Ph.D. in biomedical engineering from Shanghai Jiaotong University. Nitish V. Thankor is a professor of biomedical engineering in the School of Medicine at Johns Hopkins University. Dr. Thankor serves on the editorial board of several journals, including the IEEE Transactions on Biomedical Engineering and Annals of Biomedical Engineering. He received a Ph.D. in electrical and computer engineering from the University of Wisconsin.
Content
Physiological Foundation of Quantitative EEG Analysis. Techniques of EEG Recording and Preprocessing. Single Channel EEG Analysis. Bivariable and Multivariable Analysis EEG Signals. Theory of EEG Inverse Problem. Epilepsy Detection and Monitoring. Monitoring Neurological Injury by qEEG. Quantitative EEG Based Brain Computer Interface. EEG Signal Analysis in Anesthesia. Quantitative Sleep Monitoring. EEG Signals in Psychiatry: Biomarkers for Depression Management. Combining EEG and MRI Techniques. Cortical Functional Mapping by High Resolution EEG. Cortical Function Mapping with Intracranial EEG.