Brain-computer interfaces

Author(s)

• Ramsey, Nick F.
• Millán, José del R.

Bibliographic Information

Brain-computer interfaces

volume editors Nick F. Ramsey and José del R. Millán

（Handbook of clinical neurology, 3rd ser. ; v. 168）

Elsevier, 2020

• : hbk

Note

Includes bibliographical references and index

Description and Table of Contents

Description

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.

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

by "Nielsen BookData"

Details

• NCID: BB3057877X
• ISBN:
  • 9780444639349
• Country Code: ne
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: Amsterdam
• Pages/Volumes: xvi, 374 p.
• Size: 27 cm
• Classification:
  • DC23 : 573.860113
• Subject Headings:
  • LCSH : Brain-computer interfaces
• Parent Bibliography ID:
  • BA00026041