Hidden Bibliographic Details
| Other authors / contributors: | Tanaka, Toshihisa (Engineer), editor.
Arvaneh, Mahnaz, editor.
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| ISBN: | 9781785613999
1785613995
9781523119837
1523119837
9781785613982
1785613987
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| Notes: | Includes bibliographical references and index.
Print version record.
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| Summary: | 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.
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| Other form: | Print version: Signal processing and machine learning for brain-machine interfaces. London, United Kingdom : Institution of Engineering and Technology, 2018 1785613987
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