https://shop.theiet.org:443/editors/toshihisa-tanaka-mahnaz-arvanehToshihisa Tanaka, Mahnaz Arvanehhttps://shop.theiet.org:443/signal-process-machi-1e<p xmlns="http://ns.editeur.org/onix/3.0/reference">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.</p><p xmlns="http://ns.editeur.org/onix/3.0/reference">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.</p>Mon, 11 Jun 2018 21:36:04 GMThttps://shop.theiet.org:443/signal-process-machi-1e