EEG Signal Processing and Feature Extraction

ISBN 10: 9811391122 / ISBN 13: 9789811391125

Edité par Springer, 2019

A propos de cet article

N° de réf. du vendeur I-9789811391125

Détails bibliographiques

• Titre: EEG Signal Processing and Feature Extraction
• Éditeur: Springer
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 9811391122
• ISBN à 13 chiffres: 9789811391125
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

Introduction.- EEG: origin and measurement.- Electroencephalography, Evoked potentials and event-related potentials.- ERP Experimental design.- EEG Preprocessing and denoising.- Spectral and time-frequency analysis.- Blind source separation.- Microstate analysis.- Source analysis.- Single-trial analysis.- Nonlinear neural dynamics.- Connectivity analysis.- Spatial complex brain network.- Temporal complex network analysis.- Machine learning.- Deep learning.- Statistical analysis.- Simultaneous EEG-fMRI.- EEG/ERP data analysis toolboxes.- Summary and conclusions.

À propos de l?auteur

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.