TY - BOOK
T1 - Advanced Electroencephalography Analytical Methods
T2 - Fundamentals, Acquisition, and Applications
AU - Naik, Ganesh
AU - Dos Santos, Wellington Pinheiro
AU - Gargiulo, Gaetano
N1 - Publisher Copyright:
© 2025 selection and editorial matter, Ganesh Naik, Wellington Pinheiro dos Santos, and Gaetano Gargiulo; individual chapters, the contributors
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using nonlinear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience. This book: • Includes a comprehensive review on biomedical signals nature and acquisition aspects • Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas • Provides a machine learning update to a classical biomedical signal processing approach • Explains deep learning and application to biomedical signal processing and analysis • Explores relevant biomedical engineering and neuroscience state-of-the-art applications This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.
AB - Advanced Electroencephalography Analytical Methods: Fundamentals, Acquisition, and Applications presents the theoretical basis and applications of electroencephalography (EEG) signals in neuroscience, involving signal analysis, processing, signal acquisition, representation, and applications of EEG signal analysis using nonlinear approaches and machine learning. It explains principles of neurophysiology, linear signal processing, computational intelligence, and the nature of signals including machine learning. Applications involve computer-aided diagnosis, brain-computer interfaces, rehabilitation engineering, and applied neuroscience. This book: • Includes a comprehensive review on biomedical signals nature and acquisition aspects • Focuses on selected applications of neuroscience/cardiovascular/muscle-related biomedical areas • Provides a machine learning update to a classical biomedical signal processing approach • Explains deep learning and application to biomedical signal processing and analysis • Explores relevant biomedical engineering and neuroscience state-of-the-art applications This book is intended for researchers and graduate students in biomedical signal processing, electrical engineering, neuroscience, and computer science.
UR - http://www.scopus.com/inward/record.url?scp=85212908535&partnerID=8YFLogxK
U2 - 10.1201/9781003252092
DO - 10.1201/9781003252092
M3 - Book
AN - SCOPUS:85212908535
SN - 9781032171708
BT - Advanced Electroencephalography Analytical Methods
PB - CRC Press
ER -