EEG Signal Processing and Feature Extraction

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hu, Li (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zhang, Zhiguo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Biomedical engineering.; Neurosciences.; Experiential research.; Biomedical Engineering/Biotechnology.; Psychology Research.
• Φυσική περιγραφή: VIII, 437 p. 177 illus., 143 illus. in color. online resource.
• ISBN: 9789811391132
• DOI: 10.1007/978-981-13-9113-2

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.