Gang Li (ed.); Qiang Hu (ed.); Olga Verkhoglyadova (ed.); Gary Zank (ed.); R.P. Lin (ed.); J. Luhmann (ed.) American Institute of Physics (2008) Kovakantinen kirja
Qiang Hu (ed.); Gang Li (ed.); Gary P. Zank (ed.); Xianzhi Ao (ed.); James H Adams (ed.); Olga Verkhoglyadova (ed.) American Institute of Physics (2012) Kovakantinen kirja
Xiaofei Wang (ed.); Victor C. M. Leung (ed.); Keqiu Li (ed.); Haijun Zhang (ed.); Xiping Hu (ed.); Qiang Liu (ed.) Springer (2021) Pehmeäkantinen kirja
Springer Sivumäärä: 437 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2020, 25.10.2020 (lisätietoa) Kieli: Englanti
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.
