Brain–Computer Interfaces: Principles and Practice
Brain–Computer Interfaces: Principles and Practice
MD, Chief, Laboratory of Nervous System Disorders
PhD
Cite
Abstract
In the last fifteen years, a recognizable surge in the field of Brain Computer Interface (BCI) research and development has emerged. This emergence has sprung from a variety of factors. For one, inexpensive computer hardware and software is now available and can support the complex high-speed analyses of brain activity that is essential is BCI. Another factor is the greater understanding of the central nervous system, including the abundance of new information on the nature and functional correlates of brain signals and improved methods for recording these signals in both the short-term and long-term. And the third, and perhaps most significant factor, is the new recognition of the needs and abilities of people disabled by disorders such as cerebral palsy, spinal cord injury, stroke, amyotrophic lateral sclerosis (ALS), multiple sclerosis, and muscular dystrophies. The severely disabled are now able to live for many years and even those with severely limited voluntary muscle control can now be given the most basic means of communication and control because of the recent advances in the technology, research, and applications of BCI.
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Front Matter
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Part I. Introduction
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Part II. Brain Signals for BCIs
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Part III. BCI Design, Implementation, and Operation
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5
Acquiring Brain Signals from within the Brain
Kevin J. Otto and others
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6
Acquiring Brain Signals from Outside the Brain
Ramesh Srinivasan
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7
BCI Signal Processing: Feature Extraction
Dean J. Krusienski and others
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8
BCI Signal Processing: Feature Translation
Dennis J. McFarland andDean J. Krusienski
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9
BCI Hardware and Software
J. Adam Wilson and others
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10
BCI Operating Protocols
Steven G. Mason and others
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11
BCI Applications
Jane E. Huggins andDebra Zeitlin
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5
Acquiring Brain Signals from within the Brain
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Part IV. Existing BCIs
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12
BCIs That Use P300 Event-Related Potentials
Eric W. Sellers and others
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13
BCIs That Use Sensorimotor Rhythms
Gert Pfurtscheller andDennis J. McFarland
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14
BCIs That Use Steady-State Visual Evoked Potentials or Slow Cortical Potentials
Brendan Z. Allison and others
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15
BCIs That Use Electrocorticographic Activity
Gerwin Schalk
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16
BCIs That Use Signals Recorded in Motor Cortex
John P. Donoghue
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17
BCIs That Use Signals Recorded in Parietal or Premotor Cortex
Hansjörg Scherberger
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18
BCIs That Use Brain Metabolic Signals
Ranganatha Sitaram and others
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12
BCIs That Use P300 Event-Related Potentials
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Part V. Using BCIs
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19
BCI Users and Their Needs
Leigh R. Hochberg andKim D. Anderson
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20
Clinical Evaluation of BCIs
Theresa M. Vaughan and others
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21
Dissemination: Getting BCIs to the People Who Need Them
Frances J. R. Richmond andGerald E. Loeb
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22
BCI Therapeutic Applications for Improving Brain Function
Janis J. Daly andRanganatha Sitaram
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23
BCI Applications for the General Population
Benjamin Blankertz and others
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24
Ethical Issues in BCI Research
Mary-Jane Schneider and others
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19
BCI Users and Their Needs
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Part VI. Conclusion
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End Matter
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