You are here

Back to top

Signal Processing and Machine Learning for Brain-Machine Interfaces (Control) (Hardcover)

Signal Processing and Machine Learning for Brain-Machine Interfaces (Control) Cover Image
By Toshihisa Tanaka (Editor), Mahnaz Arvaneh (Editor)
$160.00
Usually Ships in 1-5 Days

Description


Brain-machine interfacing or brain-computer interfacing (BMI/BCI) is an emerging and challenging technology used in engineering and neuroscience. The ultimate goal is to provide a pathway from the brain to the external world via mapping, assisting, augmenting or repairing human cognitive or sensory-motor functions.

In this book an international panel of experts introduce signal processing and machine learning techniques for BMI/BCI and outline their practical and future applications in neuroscience, medicine, and rehabilitation, with a focus on EEG-based BMI/BCI methods and technologies. Topics covered include discriminative learning of connectivity pattern of EEG; feature extraction from EEG recordings; EEG signal processing; transfer learning algorithms in BCI; convolutional neural networks for event-related potential detection; spatial filtering techniques for improving individual template-based SSVEP detection; feature extraction and classification algorithms for image RSVP based BCI; decoding music perception and imagination using deep learning techniques; neurofeedback games using EEG-based Brain-Computer Interface Technology; affective computing system and more.


Product Details
ISBN: 9781785613982
ISBN-10: 1785613987
Publisher: Institution of Engineering & Technology
Publication Date: November 18th, 2018
Pages: 360
Language: English
Series: Control