This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, and coordinated presentation of the field's key principles, current practice, and future prospects.
This book is intended to provide an introduction to and summary of essentially all major aspects of BCI research and development. Its goal is to be a comprehensive, balanced, and coordinated presentation of the field's key principles, current practice, and future prospects.
Jonathan Wolpaw, MD, is Chief at the Laboratory of Nervous System Disorders at the Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY. Elizabeth Winter Wolpaw, PhD is Professor Emeritus in the Department of Chemistry at Siena College in Albany, NY and Research Associate at the Laboratory of Nervous System Disorders at the Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY.
Inhaltsangabe
Contributors PART I: INTRODUCTION 1. Brain-Computer Interfaces: Something New under the Sun Jonathan R. Wolpaw and Elizabeth Winter Wolpaw PART II: BRAIN SIGNALS FOR BCIs 2. Neuronal Activity in Motor Cortex and Related Areas Lee E. Miller and Nicholas Hatsopoulos 3. Electric and Magnetic Fields Produced by the Brain Paul L. Nunez 4. Signals Reflecting Brain Metabolic Activity Nick F. Ramsey PART III: BCI DESIGN, IMPLEMENTATION, AND OPERATION 5. Acquiring Brain Signals from Within the Brain Kevin Otto, Kip A. Ludwig, Daryl R. Kipke 6. Acquiring Brain Signals from Outside the Brain Ramesh Srinivasan 7. BCI Signal Processing: Feature Extraction Dean J. Krusienski, Dennis J. McFarland, and José C. Princípe 8. BCI Signal Processing: Feature Translation Dennis J. McFarland and Dean J. Krusienski 9. BCI Hardware and Software J. Adam Wilson, Christoph Guger, and Gerwin Schalk 10. BCI Operating Protocols Steven G. Mason, Brendan Z. Allison, and Jonathan R. Wolpaw 11. BCI Applications Jane E. Huggins and Debra Zeitlin PART IV: EXISTING BCIs 12. BCIs that Use P300 Event-Related Potentials Eric W. Sellers, Yael Arbel, and Emanuel Donchin 13. BCIs that Use Sensorimotor Rhythms Gert Pfurtscheller and Dennis J. McFarland 14. BCIs that Use Steady-State Visual Evoked Potentials or Slow Cortical Potentials Brendan Z. Allison, Josef Faller, and Christa Neuper 15. BCIs that Use Electrocorticographic (ECoG) Activity Gerwin Schalk 16. BCIs that Use Signals Recorded in Motor Cortex John P. Donoghue 17. BCIs that Use Signals Recorded in Parietal or Premotor Cortex Hansjörg Scherberger 18. BCIs that Use Brain Metabolic Signals Ranganatha Sitaram, Sangkyung Lee, and Niels Birbaumer PART V: USING BCIs 19. BCI Users and Their Needs Leigh R. Hochberg and Kim D. Anderson 20. Clinical Evaluation of BCIs Theresa M. Vaughan, Eric W. Sellers, and Jonathan R. Wolpaw 21. Dissemination: Getting BCIs to the People Who Need Them Frances J.R. Richmond and Gerald E. Loeb 22. BCI Therapeutic Applications for Improving Brain Function Janis J. Daly and Ranganatha Sitaram 23. BCI Applications for the General Population Benjamin Blankertz, Michael Tangermann, and Klaus-Robert Mu?ller 24. Ethical Issues in BCI Research Mary-Jane Schneider, Joseph J. Fins, and Jonathan R. Wolpaw PART VI: CONCLUSION 25. The Future of BCIs: Meeting the Expectations Jonathan R. Wolpaw and Elizabeth Winter Wolpaw Index
Contributors PART I: INTRODUCTION 1. Brain-Computer Interfaces: Something New under the Sun Jonathan R. Wolpaw and Elizabeth Winter Wolpaw PART II: BRAIN SIGNALS FOR BCIs 2. Neuronal Activity in Motor Cortex and Related Areas Lee E. Miller and Nicholas Hatsopoulos 3. Electric and Magnetic Fields Produced by the Brain Paul L. Nunez 4. Signals Reflecting Brain Metabolic Activity Nick F. Ramsey PART III: BCI DESIGN, IMPLEMENTATION, AND OPERATION 5. Acquiring Brain Signals from Within the Brain Kevin Otto, Kip A. Ludwig, Daryl R. Kipke 6. Acquiring Brain Signals from Outside the Brain Ramesh Srinivasan 7. BCI Signal Processing: Feature Extraction Dean J. Krusienski, Dennis J. McFarland, and José C. Princípe 8. BCI Signal Processing: Feature Translation Dennis J. McFarland and Dean J. Krusienski 9. BCI Hardware and Software J. Adam Wilson, Christoph Guger, and Gerwin Schalk 10. BCI Operating Protocols Steven G. Mason, Brendan Z. Allison, and Jonathan R. Wolpaw 11. BCI Applications Jane E. Huggins and Debra Zeitlin PART IV: EXISTING BCIs 12. BCIs that Use P300 Event-Related Potentials Eric W. Sellers, Yael Arbel, and Emanuel Donchin 13. BCIs that Use Sensorimotor Rhythms Gert Pfurtscheller and Dennis J. McFarland 14. BCIs that Use Steady-State Visual Evoked Potentials or Slow Cortical Potentials Brendan Z. Allison, Josef Faller, and Christa Neuper 15. BCIs that Use Electrocorticographic (ECoG) Activity Gerwin Schalk 16. BCIs that Use Signals Recorded in Motor Cortex John P. Donoghue 17. BCIs that Use Signals Recorded in Parietal or Premotor Cortex Hansjörg Scherberger 18. BCIs that Use Brain Metabolic Signals Ranganatha Sitaram, Sangkyung Lee, and Niels Birbaumer PART V: USING BCIs 19. BCI Users and Their Needs Leigh R. Hochberg and Kim D. Anderson 20. Clinical Evaluation of BCIs Theresa M. Vaughan, Eric W. Sellers, and Jonathan R. Wolpaw 21. Dissemination: Getting BCIs to the People Who Need Them Frances J.R. Richmond and Gerald E. Loeb 22. BCI Therapeutic Applications for Improving Brain Function Janis J. Daly and Ranganatha Sitaram 23. BCI Applications for the General Population Benjamin Blankertz, Michael Tangermann, and Klaus-Robert Mu?ller 24. Ethical Issues in BCI Research Mary-Jane Schneider, Joseph J. Fins, and Jonathan R. Wolpaw PART VI: CONCLUSION 25. The Future of BCIs: Meeting the Expectations Jonathan R. Wolpaw and Elizabeth Winter Wolpaw Index
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