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Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities

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Gebonden, blz. | Engels
Elsevier Science | e druk, 2009
ISBN13: 9780123748218
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Elsevier Science e druk, 2009 9780123748218
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Among the most interesting fields in research are the emerging possibilities to interface the human brain directly with machines, e.g. with computers and robotic interfaces. The European Space Agency's Advanced Concept team as a multidisciplinary team from engineering, artificial intelligence, and neural engineering has been working on the cutting edge of exploring brain machine interfaces for application in space as solutions to limitations astronauts face in space, and this book for the first time presents the state-of-the-art-cohesively.

Specificaties

ISBN13:9780123748218
Taal:Engels
Bindwijze:Gebonden

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CONTENTS <br><br>Contributors......................................................................... xi<br>Foreword ............................................................................... xv<br>Preface ................................................................................... xvii<br><br><br>SECTION ONE <br><br>HYBRID BIONIC SYSTEMS <br><br>EMGBased and GazeTrackingBased Man-Machine Interfaces <br><br>Federico Carpi and Danilo De Rossi <br><br>I. Introduction ........................................................................ 4<br><br><br>II. EMGBasedInterfaces............................................................. 5<br><br><br>III. GazeTrackingBasedInterfaces.................................................. 12<br><br><br>IV. FinalRemark ....................................................................... 19<br>References .......................................................................... 19<br><br><br>Bidirectional Interfaces with the Peripheral Nervous System <br><br>Silvestro Micera and Xavier Navarro <br><br>I. Introduction ........................................................................ 24<br><br><br>II. OrganizationandFunctionofthePNS ........................................ 25<br><br><br>III. Nerve Electrodes:TypesandApplications..................................... 28<br><br><br>IV. Stimulationand RecordingNeuralSignals .................................... 31<br><br><br>V. BiomedicalApplications.......................................................... 33<br>References .......................................................................... 35<br><br><br>Interfacing Insect Brain for Space Applications <br><br>Giovanni Di Pino, Tobias Seidl, Antonella Benvenuto,<br>Fabrizio Sergi, Domenico Campolo, Dino Accoto,<br>Paolo Maria Rossini, and Eugenio Guglielmelli<br><br><br>I. Introduction ........................................................................ 40<br><br><br>II. Interfaces............................................................................ 41<br><br><br>III. SensoryandMotorMapping..................................................... 44<br><br><br>IV. ProposingaModelofHybrid Control Architecture ......................... 45<br><br><br>v <br><br>vi CONTENTS <br><br>V. ConclusionsandOutlook......................................................... 46<br>References........................................................................... 47<br><br><br>SECTION TWO <br><br>MEET THE BRAIN <br><br>Meet the Brain: Neurophysiology <br><br>John Rothwell <br><br>I. Introduction......................................................................... 52<br><br><br>II. HowDoNeuronsTransmit Information?...................................... 53<br><br><br>III. Synapses ............................................................................. 55<br><br><br>IV. TheMotorAreasofthe CerebralCortex....................................... 57<br><br><br>V. PlasticityofPrimaryMotorCortex .............................................. 63<br><br><br>VI. Conclusions ......................................................................... 64<br>References........................................................................... 65<br><br><br>Fundamentals of Electroencefalography, Magnetoencefalography, and Functional Magnetic Resonance Imaging <br><br>Claudio Babiloni, Vittorio Pizzella, Cosimo del Gratta,<br>Antonio Ferretti, and Gian Luca Romani<br><br><br>I. Introduction to Electroencephalography andMagnetoencephalography ................................................... 68 <br><br>II. Physiological GenerationofEEG/MEGSignals............................... 69<br><br><br>III. EEG and MEG Techniques Allow the Study of Brain Rhythms............. 73<br><br><br>IV. FunctionalMagneticResonanceImaging ...................................... 74<br><br><br>V. Physiological Generation of Blood Oxygen LevelDependent Signal ...... 75 <br><br>VI. TypicalfMRIExperimentalDesigns............................................. 77<br><br><br>VII. BOLDfMRITechniquesin Clinical Environment ............................ 77<br>References........................................................................... 78<br><br><br>Implications of Brain Plasticity to Brain-Machine Interfaces Operation:<br>A Potential Paradox?<br><br><br>Paolo Maria Rossini <br><br>I. Introduction......................................................................... 82<br><br><br>II. BrainPlasticity ...................................................................... 83<br><br><br>III. BrainPlasticityandBMISystems ................................................ 87<br><br><br>IV. MonitoringPlasticityDuringBMIControl ..................................... 88<br><br><br>V. Conclusions ......................................................................... 89<br>References........................................................................... 89<br><br><br>CONTENTS <br><br>SECTION THREE <br><br>BRAIN MACHINE INTERFACES, A NEW<br>BRAINTOENVIRONMENT COMMUNICATION CHANNEL<br><br><br>An Overview of BMIs <br><br>Francisco Sepulveda <br><br>I. Introduction ........................................................................ 94<br><br><br>II. MainElementsinaBMI.......................................................... 96<br><br><br>III. BMITypes........................................................................... 99<br><br><br>IV. BMIsandtheUser’sAbility...................................................... 102<br><br><br>V. Conclusion.......................................................................... 104<br>References .......................................................................... 104<br><br><br>Neurofeedback and Brain-Computer Interface: Clinical Applications <br><br>Niels Birbaumer, Ander Ramos Murguialday, Cornelia Weber, and Pedro Montoya <br><br>I. Introduction ........................................................................ 108<br><br><br>II. FunctionalMagnetic ResonanceImaging: fMRIBMI ........................ 109<br><br><br>III. BMIinLockedinSyndrome..................................................... 110<br><br><br>IV. BMIinStrokeandSpinalCordInjury ......................................... 112<br><br><br>V. Conclusion.......................................................................... 114<br>References .......................................................................... 115<br><br><br>Flexibility and Practicality: Graz Brain-Computer Interface Approach <br><br>Reinhold Scherer, Gernot R. MullerPutz, and Gert Pfurtscheller <br><br>I. Introduction ........................................................................ 120<br><br><br>II. GrazBCI ............................................................................ 120<br><br><br>III. Applications......................................................................... 122<br><br><br>IV. Discussion ........................................................................... 127<br>References .......................................................................... 129<br><br><br>On the Use of Brain-Computer Interfaces Outside Scientific Laboratories: Toward an Application in Domotic Environments <br><br>F. Babiloni, F. Cincotti, M. Marciani, S. Salinari, L. Astolfi, <br><br>F. Aloise, F. De Vico Fallani, and D. Mattia <br><br>I. Introduction ........................................................................ 134<br><br><br>II. Methodology........................................................................ 135<br><br><br>viii CONTENTS <br><br>III. Results................................................................................ 142<br><br><br>IV. Discussion ........................................................................... 144<br>References........................................................................... 146<br><br><br>Brain-Computer Interface Research at the Wadsworth Center:<br>Developments in Noninvasive Communication and Control<br><br><br>Dean J. Krusienski and Jonathan R. Wolpaw <br><br>I. Introduction......................................................................... 147<br><br><br>II. SensorimotorRhythmBasedBCIControl...................................... 149<br><br><br>III. P300BasedBCIControl........................................................... 152<br><br><br><br>IV. CurrentandFutureDirections................................................... 154<br><br><br><br>V. Conclusion .......................................................................... 155<br>References........................................................................... 155<br><br><br><br>WatchingBrain TV and Playing Brain Ball: ExploringNovel BCI Strategies Using RealTime Analysis of Human Intracranial Data <br><br>Karim Jerbi, Samson Freyermuth, Lorella Minotti, Philippe Kahane, Alain Berthoz, and JeanPhilippe Lachaux <br><br>I. Introduction......................................................................... 160<br><br><br>II. MaterialsandMethods............................................................ 161<br><br><br>III. Results................................................................................ 161<br><br><br>IV. Discussion ........................................................................... 166<br>References........................................................................... 167<br><br><br>SECTION FOUR <br><br>BRAINMACHINE INTERFACES AND SPACE <br><br>Adaptive Changes of Rhythmic EEG Oscillations in Space:<br>Implications for Brain-Machine Interface Applications<br><br><br>G. Cheron, A. M. Cebolla, M. Petieau, A. Bengoetxea, <br><br>E. PalmeroSoler, A. Leroy, and B. Dan <br><br>I. Introduction......................................................................... 172<br><br><br>II. SpontaneousEEG Fluctuations:Whereisthe Baseline? ..................... 172<br><br><br>III. Howto Manage AlphaandMu Oscillationsin Space........................ 173<br><br><br><br>IV. From the Identification Process to the Exploitation ofBrainOscillationsinSpace.................................................... 174 <br><br><br>V. The Influence of TopDown Dynamics on BCI Approach ............... 176<br><br><br><br>VI. Gamma EEG Oscillations: AWindow into Cognition, Perception, Attention, Binding,or MicrosaccadicEye Movements ....................... 179 <br><br>VII. The Gating of the SomatosensoryEvokedPotentials asaNewToolsforBCI............................................................ 179 References........................................................................... 183 <br><br>CONTENTS <br><br>Validation of Brain-Machine Interfaces During Parabolic Flight <br><br>Jose del R. Millan, Pierre W. Ferrez, and Tobias Seidl <br><br>I. Introduction ........................................................................ 189<br><br><br>II. Methods............................................................................. 190<br><br><br>III. ExperimentalResults.............................................................. 193<br><br><br>IV. Discussion ........................................................................... 196<br>References .......................................................................... 197<br><br><br>Matching Brain-Machine Interface Performance to Space Applications <br><br>Luca Citi, Oliver Tonet, and Martina Marinelli <br><br>I. Introduction ........................................................................ 200<br><br><br>II. Methods: PerformanceMeasuresofHBSs ..................................... 201<br><br><br>III. Materials............................................................................. 202<br><br><br>IV. Results:Matching InterfacesandDevices...................................... 205<br><br><br>V. PossibleDemonstrators ........................................................... 208<br><br><br>VI. Conclusions......................................................................... 209<br>References .......................................................................... 210<br><br><br>Brain-Machine Interfaces forSpace Applications-Research,Technological<br>Development, and Opportunities<br><br><br>Leopold Summerer, Dario Izzo, and Luca Rossini <br><br>I. Introduction ........................................................................ 214<br><br><br>II. AnOutlookonBMIResearchTrends.......................................... 215<br><br><br>III. Future Manned Space Programs-Planned or Envisioned.................. 217<br><br><br>IV. NextStepsTowardBMIsforSpaceApplications............................. 220<br><br><br>V. Conclusion.......................................................................... 221<br>References .......................................................................... 221<br><br><br>Index ...................................................................................... 225<br>Contents of Recent Volumes................................................ 231

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