Brain-Computer Interfaces

Specificaties
Gebonden, blz. | Engels
Elsevier Science | e druk, 2020
ISBN13: 9780444639349
Rubricering
Elsevier Science e druk, 2020 9780444639349
Onderdeel van serie Handbook of Clinical Neurology
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9780444639349
Taal:Engels
Bindwijze:Gebonden

Inhoudsopgave

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

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        Brain-Computer Interfaces