Del 86 - International Review of Neurobiology

Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities

Inbunden, Engelska, 2009

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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.

A pioneering book for a pioneering field
Presents the application of cutting-edge brain machine interface technologies and concepts to support astronauts in space
Of great interest to space scientists, neuroscientists, and biomedical engineers alike

Produktinformation

Utgivningsdatum2009-09-10
Mått152 x 229 x undefined mm
Vikt600 g
SpråkEngelska
SerieInternational Review of Neurobiology
Antal sidor296
FörlagElsevier Science
EAN9780123748218

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

Brain Machine Interfaces for Space Applications: enhancing astronaut capabilities

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