EEG/ERP analysis : methods and applications
著者
書誌事項
EEG/ERP analysis : methods and applications
CRC Press, Taylor & Francis Group, c2015
- : hardback
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注記
Includes bibliographical references and index
収録内容
- The fundamentals of EEG signal processing
- Event-related potentials
- Brain source localization using EEG signals
- Epilepsy detection and monitoring
- Neurological injury monitoring using QEEG
- Quantitative EEG for brain-computer interfaces
- EEG and QEEG in psychiatry
- Perspectives of M-EEG and FMRI data fusion
- Memory retention and recall process
- Neurofeedback
- Future integration of EEG-FMRI in psychiatry, psychology, and cultural neuroscience
- Future use of EEG, ERP, EEG/MEG, EEG-FMRI in treatment, prognostication, and rehabilitation of medical and surgical neurological ailments
内容説明・目次
内容説明
Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and other monitoring systems used in preventive diagnostic procedures incorporate innovative features for brain monitoring functions such as real-time automated signal processing techniques and sophisticated amplifiers. Highlighting the US, Europe, Australia, New Zealand, Japan, Korea, China, and many other areas, EEG/ERP Analysis: Methods and Applications examines how researchers from various disciplines have started to work in the field of brain science, and explains the different techniques used for processing EEG/ERP data. Engineers can learn more about the clinical applications, while clinicians and biomedical scientists can familiarize themselves with the technical aspects and theoretical approaches.
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 (R) 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.
目次
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.
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