Brain-Computer Interfaces (Volume 168)

Brain-Computer Interfaces (Volume 168) – Ebook Instant Download/Delivery ISBN(s): 9780444639349,0444639349,B085RL5T5T

Product details:

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

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 contents:

Chapter 1 – Human brain function and brain-computer interfaces

Chapter 2 – Brain-computer interfaces: Definitions and principles

Chapter 3 – Stroke and potential benefits of brain-computer interface

Chapter 4 – Brain-computer interfaces for people with amyotrophic lateral sclerosis

Chapter 5 – Brain damage by trauma

Chapter 6 – Spinal cord lesions

Chapter 7 – Brain-computer interfaces for communication

Chapter 8 – Applications of brain-computer interfaces to the control of robotic and prosthetic arms

Chapter 9 – Brain-computer interfaces in neurologic rehabilitation practice

Chapter 10 – Video games as rich environments to foster brain plasticity

Chapter 11 – Brain-computer interfaces for consciousness assessment and communication in severely brain-injured patients

Chapter 12 – Smart neuromodulation in movement disorders

Chapter 13 – Bidirectional brain-computer interfaces

Chapter 14 – Brain-computer interfaces and virtual reality for neurorehabilitation

Chapter 15 – Monitoring performance of professional and occupational operators

Chapter 16 – Self-health monitoring and wearable neurotechnologies

Chapter 17 – Brain-computer interfaces for basic neuroscience

Chapter 18 – Electroencephalography

Chapter 19 – iEEG: Dura-lining electrodes

Chapter 20 – Local field potentials for BCI control

Chapter 21 – Real-time fMRI for brain-computer interfacing

Chapter 22 – Merging brain-computer interface and functional electrical stimulation technologies for movement restoration

Chapter 23 – General principles of machine learning for brain-computer interfacing

Chapter 24 – Ethics and the emergence of brain-computer interface medicine

Chapter 25 – Industrial perspectives on brain-computer interface technology

Chapter 26 – Hearing the needs of clinical users

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