EEG/ERP Analysis: Methods and Applications

Kamel Nidal, Aamir Saeed Malik

April 27, 2017 by CRC Press
Reference - 334 Pages - 86 B/W Illustrations
ISBN 9781138077089 - CAT# K34271

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Features

      • Describes the complex signal processing topics related to EEG/ERP denoising and analysis in language non-engineers can understand
      • Details the physiological foundations of EEG signals so that engineers can properly design their instrumentations
      • Discusses emerging applications due to the significant increase in number of electrodes in the new EEG equipment, in terms of the high resolution topographic map

      Summary

      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® 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.

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