Brain-Computer Interfaces
Principles and Practice
Herausgeber: Wolpaw, Jonathan; Wolpaw, Elizabeth Winter
Brain-Computer Interfaces
Principles and Practice
Herausgeber: Wolpaw, Jonathan; Wolpaw, Elizabeth Winter
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
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.
Andere Kunden interessierten sich auch für
- Brain-Computer Interfaces Handbook368,99 €
- Brain-Computer Interfaces37,99 €
- Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury125,99 €
- Brain-Computer Interfaces37,99 €
- Signal Processing and Machine Learning for Brain-Machine Interfaces153,99 €
- Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury128,39 €
- Ian D LearmonthInterfaces in Total Hip Arthroplasty108,99 €
-
-
-
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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Hurst & Co.
- Seitenzahl: 424
- Erscheinungstermin: 24. Januar 2012
- Englisch
- Abmessung: 287mm x 220mm x 32mm
- Gewicht: 1582g
- ISBN-13: 9780195388855
- ISBN-10: 0195388852
- Artikelnr.: 33722669
- Verlag: Hurst & Co.
- Seitenzahl: 424
- Erscheinungstermin: 24. Januar 2012
- Englisch
- Abmessung: 287mm x 220mm x 32mm
- Gewicht: 1582g
- ISBN-13: 9780195388855
- ISBN-10: 0195388852
- Artikelnr.: 33722669
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.
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
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
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