Brain-Computer Interfaces: Volume 168

Brain-Computer Interfaces: Volume 168

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Brain-Computer Interfacing, Volume 168, not only gives readers a clear understanding of what BCI science is currently offering, but also describes future expectations for restoring lost brain function in patients. In-depth technological chapters are aimed at those interested in BCI technologies and the nature of brain signals, while more comprehensive summaries are provided in the more applied chapters. Readers will be able to grasp BCI concepts, understand what needs the technologies can meet, and provide an informed opinion on BCI science.
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Product details

  • Hardback | 390 pages
  • 215.9 x 276.35 x 25.4mm | 1,080g
  • Elsevier Science Ltd
  • Oxford, United Kingdom
  • English
  • 0444639349
  • 9780444639349
  • 2,882,622

Table of contents

1. Human brain function and brain-computer interfaces
2. Brain-computer interfaces: definitions and principles
3. Stroke and potential benefits of brain to computer interface
4. Brain-computer interfaces for people with amyotrophic lateral sclerosis
5. Brain damage by trauma
6. Spinal cord lesions
7. Brain:computer interfaces for communication
8. Applications of brain-computer interfaces to the control of robotic and prosthetic arms
9. BCI for rehab ('not control')
10. Video games as rich environments to foster brain plasticity
11. Consciousness and communication brain-computer interfaces in severely brain-injured patients
12. Smart neuromodulation in movement disorders
13. Bidirectional brain computer interfaces
14. Brain-computer interfaces and virtual reality for neurorehabilitation
15. Monitoring performance of professional and occupational operators
16. Self-Health Monitoring and wearable neurotechnologies
17. Brain-computer interfaces for basic neuroscience
18. Electroencephalography
19. iEEG: dura-lining electrodes
20. Local field potentials for BCI control
21. Real-time fMRI for brain-computer interfacing
22. Merging brain-computer interface and functional electrical stimulation technologies for movement restoration
23. General principles of machine learning for brain-computer interfacing
24. Ethics and the emergence of brain-computer interface medicine
25. Industrial perspectives on brain-computer interface technology
26. Hearing the needs of clinical users
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About Nick F. Ramsey

Nick Ramsey has a degree in Psychology and a PhD in neuro-psychopharmacology, both from the university of Utrecht (Netherlands). He became a specialist in cognitive neuroimaging in the US (National Institutes of Health), and applies modern techniques, including fMRI and intracranial EEG, to questions on working memory, language, and sensorimotor function. His primary goal is to acquire and translate neuro-scientific insights to patients with neurological and psychiatric disorders, with a focus on brain-computer interfacing. He is full professor in cognitive neuroscience at the department of neurology and neurosurgery of the UMC Utrecht since 2007. He has been awarded several personal grants including a VIDI (NWO, 2002) for elucidating working memory, a VICI (NWO, 2006) and later a European ERC Advanced grant for developing intracranial BCI concepts for paralyzed people. The BCI research resulted in an implantable prototype for locked-in patients the first of who has now been using the implant for over 3 years for communication. He also was awarded several Valorisation grants and started a spin-off company to provide Clinical fMRI reports to clinicians. He has supervised over 20 PhD students and has (co)authored over 190 peer-reviewed publications. Jose del R. Millan is with the Dept. of Electrical & Computer Engineering and in the Dept. of Neurology of the University of Texas at Austin since September 2019, where he holds the Motorola Regents Chair in Electrical and Computer Engineering #2. Dr. Millan held the Defitech Foundation Chair at the Ecole Polytechnique Federale de Lausanne (EPFL) from 2009 to 2019, where he helped establish the Center for Neuroprosthetics. He received a PhD in computer science from the Technical University of Catalonia, Barcelona, in 1992. Dr. Millan has made several seminal contributions to the field of brain-computer interfaces (BCI), especially based on electroencephalogram (EEG) signals. Most of his achievements revolve around the design of brain-controlled robots. He has received several recognitions for these seminal and pioneering achievements, notably the IEEE-SMC Nobert Wiener Award in 2011 and elevation to IEEE Fellow in 2017. In addition to his work on the fundamentals of BCI and design of neuroprosthetics, Dr. Millan is prioritizing the translation of BCI to end-users suffering from motor and cognitive disabilities. In parallel, he is designing BCI technology to offer new interaction modalities for able-bodied people.
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