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A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.




A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.




A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.


Content:
Front Matter....Pages i-xiv
Brain–Computer Interfaces: A Gentle Introduction....Pages 1-27
Brain Signals for Brain–Computer Interfaces....Pages 29-46
Dynamics of Sensorimotor Oscillations in a Motor Task....Pages 47-64
Neurofeedback Training for BCI Control....Pages 65-78
The Graz Brain-Computer Interface....Pages 79-96
BCIs in the Laboratory and at Home: The Wadsworth Research Program....Pages 97-111
Detecting Mental States by Machine Learning Techniques: The Berlin Brain–Computer Interface....Pages 113-135
Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms....Pages 137-154
Brain–Computer Interface in Neurorehabilitation....Pages 155-169
Non Invasive BCIs for Neuroprostheses Control of the Paralysed Hand....Pages 171-184
Brain–Computer Interfaces for Communication and Control in Locked-in Patients....Pages 185-201
Intracortical BCIs: A Brief History of Neural Timing....Pages 203-219
BCIs Based on Signals from Between the Brain and Skull....Pages 221-239
A Simple, Spectral-Change Based, Electrocorticographic Brain–Computer Interface....Pages 241-258
Using BCI2000 in BCI Research....Pages 259-279
The First Commercial Brain–Computer Interface Environment....Pages 281-303
Digital Signal Processing and Machine Learning....Pages 305-330
Adaptive Methods in BCI Research - An Introductory Tutorial....Pages 331-355
Toward Ubiquitous BCIs....Pages 357-387
Back Matter....Pages 389-393


A brain-computer interface (BCI) establishes a direct output channel between the human brain and external devices. BCIs infer user intent via direct measures of brain activity and thus enable communication and control without movement. This book, authored by experts in the field, provides an accessible introduction to the neurophysiological and signal-processing background required for BCI, presents state-of-the-art non-invasive and invasive approaches, gives an overview of current hardware and software solutions, and reviews the most interesting as well as new, emerging BCI applications. The book is intended not only for students and young researchers, but also for newcomers and other readers from diverse backgrounds keen to learn about this vital scientific endeavour.


Content:
Front Matter....Pages i-xiv
Brain–Computer Interfaces: A Gentle Introduction....Pages 1-27
Brain Signals for Brain–Computer Interfaces....Pages 29-46
Dynamics of Sensorimotor Oscillations in a Motor Task....Pages 47-64
Neurofeedback Training for BCI Control....Pages 65-78
The Graz Brain-Computer Interface....Pages 79-96
BCIs in the Laboratory and at Home: The Wadsworth Research Program....Pages 97-111
Detecting Mental States by Machine Learning Techniques: The Berlin Brain–Computer Interface....Pages 113-135
Practical Designs of Brain–Computer Interfaces Based on the Modulation of EEG Rhythms....Pages 137-154
Brain–Computer Interface in Neurorehabilitation....Pages 155-169
Non Invasive BCIs for Neuroprostheses Control of the Paralysed Hand....Pages 171-184
Brain–Computer Interfaces for Communication and Control in Locked-in Patients....Pages 185-201
Intracortical BCIs: A Brief History of Neural Timing....Pages 203-219
BCIs Based on Signals from Between the Brain and Skull....Pages 221-239
A Simple, Spectral-Change Based, Electrocorticographic Brain–Computer Interface....Pages 241-258
Using BCI2000 in BCI Research....Pages 259-279
The First Commercial Brain–Computer Interface Environment....Pages 281-303
Digital Signal Processing and Machine Learning....Pages 305-330
Adaptive Methods in BCI Research - An Introductory Tutorial....Pages 331-355
Toward Ubiquitous BCIs....Pages 357-387
Back Matter....Pages 389-393
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