EEG Signal Processing and Feature Extraction

Li Hu

ISBN 10: 9811391157 / ISBN 13: 9789811391156

Published by Springer, Springer, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

Seller Inventory # 9789811391156

Bibliographic Details

• Title: EEG Signal Processing and Feature Extraction
• Publisher: Springer, Springer
• Publication Date: 2020
• Language: English
• ISBN 10: 9811391157
• ISBN 13: 9789811391156
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 25D millimeters 235 millimeters width by 155 millimeters height by 25 millimeters depth
• Weight: 674 grams

About this title

Synopsis

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.

About the Author

Dr. Li Hu is a Principle Investigator at the Institute of Psychology, Chinese Academy of Sciences, China. He is also an Honorary Senior Research Associate at University College London. Dr. Hu has contributed to the development of novel techniques to facilitate the analysis of event-related EEG responses. He has published more than 60 research articles in this field, and was sponsored by the National Natural Science Foundation of China for Excellent Young Scholars.

Dr. Zhiguo Zhang is a Professor at the School of Biomedical Engineering, Health Science Center, Shenzhen University, China. His research focuses on neural signal analysis, brain-computer interaction, machine learning for brain decoding and digital signal processing. He has published more than 60 articles in these fields.