A new book in The IET Book Series on e-Health Technologies, EEG Signal Processing: Feature extraction, selection and classification methods edited by Professor Wai Yie Leong, is available now.
Publication date: March 2019; ISBN: 978-1-78561-370-8
Description
Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface systems. This edited book presents state of the art aspects of EEG signal processing methods used for feature extraction, feature selection and feature classification to discriminate among several mental tasks. It emphasizes advanced strategies, case studies, clinical practices and applications such as EEG for meditation, auditory selective attention, sleep apnoea; person authentication; handedness detection, Parkinson’s disease, motor imagery, smart air travel support and brain signal classification.
About the Editor
Wai Yie Leong is a Professor at Taylor’s University, Malaysia, where she specializes in biomedical signal and image processing, medical signal processing and telecommunications, smart control, and wireless sensor networks. She has been actively involved in Women In Technology and received the Smart-State-Smart-Women Award from the Queensland Government, Australia, in 2005. She is currently the Chairman of the Women Engineers Section, Malaysia (IEM-WE) and Chairman of Women Engineers – AFEO (WEAFEO). She has participated in National and International Wushu Tournaments winning more than 30 awards, including traditional Taichi, Taichi sobre, Taichi fan and Taichi sword.
Book readership
A must-read for researchers, scientists, engineers, students and academics in Biomedical Engineering, Bioinformatics, Signal Processing, Imaging, Medicine, Electronics, Machine Learning, Artificial Intelligence, Data Mining, and Information Technology.
Book Contents
List of contents available here: https://www2.theiet.org/resources/books/healthcare/eeg-signal-pro.cfm
