Description
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, you 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. CD-ROM Included: Includes high-resolution images of all the illustrations in each chapter.
Table Of Contents
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.; To view complete TOC:; Click Google Preview button under book title above, then click on Contents tab.;
Author
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Nitish V. Thakor
Nitish V. Thakor is a professor of biomedical engineering in the School of Medicine at Johns Hopkins University. Dr. Thakor 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.
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Shanbao Tong
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.