The Body-Machine Interface: A New Perspective on an Old Theme

REFERENCES

• Alm , M. , Gutierrez , E. , Hultling , C. and Saraste , H. 2003 . Clinical evaluation of seating in persons with complete thoracic spinal cord injury . Spinal Cord , 41 : 563 – 571 .
   PubMed Web of Science ®Google Scholar
• Amedi , A. , Stern , W. M. , Camprodon , J. A. , Bermpohl , F. , Merabet , L. Rotman , S. 2007 . Shape conveyed by visual-to-auditory sensory substitution activates the lateral occipital complex . Nature Neuroscience , 10 : 687 – 689 .
   PubMed Web of Science ®Google Scholar
• Bach-y-Rita , P. 1999 . Theoretical aspects of sensory substitution and of neurotransmission-related reorganization in spinal cord injury . Spinal Cord , 37 : 465 – 474 .
   PubMed Web of Science ®Google Scholar
• Bach-y-Rita , P. 2004 . Tactile sensory substitution studies . Annals of the New York Academy of Sciences , 1013 : 83 – 91 .
   PubMed Web of Science ®Google Scholar
• Bach-y-Rita , P. , Collins , C. C. , Saunders , F. A. , White , B. and Scadden , L. 1969 . Vision substitution by tactile image projection . Nature , 221 : 963 – 964 .
   PubMed Web of Science ®Google Scholar
• Bach-y-Rita , P. and Kercel , S. W. 2003 . Sensory substitution and the human-machine interface . Trends in Cognitive Sciences , 7 : 541 – 546 .
   PubMed Web of Science ®Google Scholar
• Ballinger , D. A. , Rintala , D. H. and Hart , K. A. 2000 . The relation of shoulder pain and range-of-motion problems to functional limitations, disability, and perceived health of men with spinal cord injury: A multifaceted longitudinal study . Archives of Physical Medicine and Rehabilitation , 81 : 1575 – 1581 .
   PubMed Web of Science ®Google Scholar
• Barea , R. , Boquete , L. , Mazo , M. and Lopez , E. 2002 . System for assisted mobility using eye movements based on electrooculography . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 10 : 209 – 218 .
   PubMed Web of Science ®Google Scholar
• Barreto , A. B. , Scargle , S. D. and Adjouadi , M. 2000 . A practical EMG-based human-computer interface for users with motor disabilities . Journal of Rehabilitation Research and Development , 37 : 53 – 63 .
   PubMed Web of Science ®Google Scholar
• Bernstein , N. 1967 . The coordination and regulation of movement , Oxford , , England : Pergamon Press .
   Google Scholar
• Caldwell , D. G. , Wardle , A. , Kocak , O. and Goodwin , M. 1996 . Telepresence feedback and input systems for a twin armed mobile robot . IEEE Robotics & Automation Magazine , 3 : 29 – 38 .
   Web of Science ®Google Scholar
• Casadio , M. , Pressman , A. , Acosta , S. , Danziger , Z. , Fishbach , A. Muir , K. Body machine interface: Remapping motor skills after spinal cord injury . Paper presented at the IEEE International Conference on Rehabilitation Robotics (ICORR), Zurich, Switzerland ,
   Google Scholar
• Casadio , M. , Pressman , A. , Fishbach , A. , Danziger , Z. , Acosta , S. , Chen , D. and  … Mussa-Ivaldi , F. A. 2010 . Functional reorganization of upper-body movement after spinal cord injury . Experimental Brain Research , 207 : 233 – 247 .
   PubMed Web of Science ®Google Scholar
• Chouvardas , V. G. , Miliou , A. N. and Hatalis , M. K. 2008 . Tactile displays: Overview and recent advances . Displays , 29 : 185 – 194 .
   Web of Science ®Google Scholar
• Cirstea , M. C. and Levin , M. F. 2000 . Compensatory strategies for reaching in stroke . Brain , 123 : 940 – 953 .
   PubMed Web of Science ®Google Scholar
• Clynes , M. E. and Kline , N. S. 1960 . Cyborgs and space . Astronautics , 26–27 : 74 – 75 .
   Google Scholar
• Craig , D. A. and Nguyen , H. T. 2005 . Wireless real-time head movement system using a personal digital assistant (PDA) for control of a power wheelchair . Conference Proceedings—IEEE Engineering in Medicine and Biology Society , 6 : 6235 – 6238 .
   Google Scholar
• D’Avella , A. , Saltiel , P. and Bizzi , E. 2003 . Combinations of muscle synergies in the construction of a natural motor behavior . Nature Neuroscience , 6 : 300 – 308 .
   PubMed Web of Science ®Google Scholar
• Danziger , Z. C. , Fishbach , A. and Mussa-Ivaldi , F. A. 2009 . Learning Algorithms for Human-Machine Interfaces . IEEE Transactions on on Biomedical Engineering , 56 : 1502 – 1511 .
   PubMed Web of Science ®Google Scholar
• Darling , W. G. and Cooke , J. D. 1987 . Changes in the variability of movement trajectories with practice . Journal of Motor Behavior , 19 : 291 – 309 .
   PubMed Web of Science ®Google Scholar
• Dicianno , B. E. , Cooper , R. A. and Coltellaro , J. 2010 . Joystick control for powered mobility: Current state of technology and future directions . Physical Medicine and Rehabilitation Clinics of North America , 21 : 79 – 86 .
   PubMedGoogle Scholar
• Domkin , D. , Laczko , J. , Jaric , S. , Johansson , H. and Latash , M. L. 2002 . Structure of joint variability in bimanual pointing tasks . Experimental Brain Research , 143 : 11 – 23 .
   PubMed Web of Science ®Google Scholar
• Duda , R. O. and Hart , P. E. 1973 . Pattern classification and scene analysis , London , England : Wiley-Interscience .
   Google Scholar
• Emken , J. L. , Benitez , R. and Reinkensmeyer , D. J. 2007 . Human-robot cooperative movement training: Learning a novel sensory motor transformation during walking with robotic assistance-as-needed . Journal of NeuroEngineering and Rehabilitation , 4 : 8
   PubMed Web of Science ®Google Scholar
• Felton , E. , Radwin , R. , Wilson , J. and Williams , J. 2009 . Evaluation of a modified Fitts law brain computer interface target acquisition task in able and motor disabled individuals . Journal of Neural Engineering , 6 : 056002
   PubMed Web of Science ®Google Scholar
• Ferreira , A. , Celeste , W. C. , Cheein , F. A. , Bastos-Filho , T. F. , Sarcinelli-Filho , M. and Carelli , R. 2008 . Human-machine interfaces based on EMG and EEG applied to robotic systems . Journal of NeuroEngineering and Rehabilitation , 5 : 10
   PubMed Web of Science ®Google Scholar
• Fetz , E. E. and Finocchio , D. V. 1971 . Operant conditioning of specific patterns of neural and muscular activity . Science , 174 : 431 – 435 .
   PubMed Web of Science ®Google Scholar
• Flanders , M. 1991 . Temporal patterns of muscle activation for arm movements in three-dimensional space . Journal of Neuroscience , 11 : 2680 – 2693 .
   PubMed Web of Science ®Google Scholar
• Gandolfo , F. , Mussa-Ivaldi , F. and Bizzi , E. 1996 . Motor learning by field approximation . Proceedings of the National Academy of Sciences USA , 93 : 3483 – 3486 .
   Web of Science ®Google Scholar
• Gish , H. 1990 . A probabilistic approach to the understanding and training of neural network classifiers . 1990 International Conference on Acoustics, Speech, and Signal Processing , 3 : 1361 – 1364 .
   Google Scholar
• Giszter , S. , Patil , V. and Hart , C. 2007 . Primitives, premotor drives, and pattern generation: A combined computational and neuroethological perspective . Progress in Brain Research , 165 : 323 – 346 .
   PubMed Web of Science ®Google Scholar
• Harris , C. M. and Wolpert , D. M. 1998 . Signal-dependent noise determines motor planning . Nature , 394 : 780 – 784 .
   PubMed Web of Science ®Google Scholar
• Hatsopoulos , N. G. and Donoghue , J. P. 2009 . The science of neural interface systems . Annual Review of Neuroscience , 32 : 249 – 266 .
   PubMed Web of Science ®Google Scholar
• Holdefer , R. N. and Miller , L. E. 2002 . Primary motor cortical neurons encode functional muscle synergies . Experimental Brain Research , 146 : 233 – 243 .
   PubMed Web of Science ®Google Scholar
• Horn , G. 1972 . Electro-control: An EMG-controlled A/K prosthesis . Medical and Biological Engineering and Computing , 10 : 61 – 73 .
   Web of Science ®Google Scholar
• Huo , X. , Wang , J. and Ghovanloo , M. 2008 . Introduction and preliminary evaluation of the Tongue Drive System: Wireless tongue-operated assistive technology for people with little or no upper-limb function . Journal of Rehabilitation Research and Development , 45 : 921 – 930 .
   PubMed Web of Science ®Google Scholar
• Hyvärinen , A. , Karhunen , J. and Oja , E. 2001 . Independent component analysis , New York , NY : Wiley .
   Google Scholar
• Jacob , R. J. K. 1991 . The use of eye movements in human-computer interaction techniques: What you look at is what you get . ACM Transactions on Information Systems , 9 : 152 – 169 .
   Web of Science ®Google Scholar
• Jolliffe , I. T. 2002 . Principal component analysis , New York , NY : Springer .
   Google Scholar
• Kaczmarek , K. A. , Webster , J. G. , Bach-y-Rita , P. and Tompkins , W. J. 1991 . Electrotactile and vibrotactile displays for sensory substitution systems . IEEE Transactions on Biomedical Engineering , 38 : 1 – 16 .
   PubMed Web of Science ®Google Scholar
• Kalman , R. E. 1960 . A new approach to linear filtering and prediction problem . Journal of Basic Engineering (ASME) , 82 : 35 – 45 .
   Google Scholar
• Kargo , W. J. and Nitz , D. A. 2003 . Early skill learning is expressed through selection and tuning of cortically represented muscle synergies . Journal of Neuroscience , 23 : 11255 – 11269 .
   PubMed Web of Science ®Google Scholar
• Krinskii , V. I. and Shik , M. L. 1964 . A simple motor task . Biophysics , 9 : 661 – 666 .
   Google Scholar
• Kuiken , T. A. 2006 . Targeted reinnervation for improved prosthetic function . Physical Medicine and Rehabilitation Clinics of North America , 17 : 1 – 13 .
   PubMedGoogle Scholar
• Kuiken , T. A. , Li , G. , Lock , B. A. , Lipcshutz , R. D. , Miller , L. A. , Subblefield , K. A. and Englehart , K. B. 2009 . Targeted muscle reinnervation for real-time myoelectric control of multifunction artificial arms . JAMA , 301 : 619 – 628 .
   PubMed Web of Science ®Google Scholar
• Kuiken , T. A. , Miller , L. A. , Lipschutz , R. D. , Lock , B. A. , Stubblefield , K. , Marasco , P. D. and …Dumanian , G. A. 2007 . Targeted reinnervation for enhanced prosthetic arm function in a woman with a proximal amputation: A case study . Lancet , 369 : 371 – 380 .
   PubMed Web of Science ®Google Scholar
• Kuiken , T. A. , Miller , L. , Lipschutz , R. , Stubblefield , K. and Dumanian , G. 2005 . Prosthetic command signals following targeted hyper-reinnervation nerve transfer surgery . Conference Proceedings—IEEE Engineering in Medicine and Biology Society , 7 : 7652 – 7655 .
   Google Scholar
• Latash , M. L. 2008 . Synergy , Oxford , , England : Oxford University Press .
   Google Scholar
• Latash , M. L. , Scholz , J. P. and Schoner , G. 2007 . Toward a new theory of motor synergies . Motor Control , 11 : 276 – 308 .
   PubMed Web of Science ®Google Scholar
• Lebedev , M. A. and Nicolelis , M. A. 2006 . Brain-machine interfaces: Past, present and future . Trends in Neurosciences , 29 : 536 – 546 .
   PubMed Web of Science ®Google Scholar
• Litvintsev , A. I. 1968 . Search activity of muscles in the presence of an artificial feedback loop enclosing several muscles simultaneously . Automation and Remote Control , 29 : 464 – 472 .
   Google Scholar
• Liu , X. , Mosier , K. M. , Mussa-Ivaldi , F. A. , Casadio , M. and Scheidt , R. A. 2011 . Reorganization of finger coordination patterns during adaptation to rotation and scaling of a newly learned sensorimotor transformation . Journal of Neurophysiology , 105 : 454 – 473 .
   PubMed Web of Science ®Google Scholar
• Liu , X. and Scheidt , R. A. 2008 . Contributions of online visual feedback to the learning and generalization of novel finger coordination patterns . Journal of Neurophysiology , 99 : 2546 – 2557 .
   PubMed Web of Science ®Google Scholar
• Mak , J. N. and Wolpaw , J. R. 2009 . Clinical applications of brain-computer interfaces: Current state and future prospects . IEEE Reviews on Biomedical Engineering , 2 : 187 – 199 .
   PubMedGoogle Scholar
• McDonald , P. V. , Oliver , S. K. and Newell , K. M. 1995 . Perceptual-motor exploration as a function of biomechanical and task constraints . Acta Psychologica , 88 : 127 – 165 .
   PubMed Web of Science ®Google Scholar
• Mosier , K. M. , Scheidt , R. A. , Acosta , S. and Mussa-Ivaldi , F. A. 2005 . Remapping hand movements in a novel geometrical environment . Journal of Neurophysiology , 94 : 4362 – 4372 .
   PubMed Web of Science ®Google Scholar
• Mussa-Ivaldi , F. A. and Miller , L. E. 2003 . Brain-machine interfaces: Computational demands and clinical needs meet basic neuroscience . Trends in Neurosciences , 26 : 329 – 334 .
   PubMed Web of Science ®Google Scholar
• Nisbet , P. 1996 . Integrating assistive technologies: Current practices and future possibilities . Medical Engineering & Physics , 18 : 193 – 202 .
   PubMed Web of Science ®Google Scholar
• Okamura , A. M. , Cutkosky , M. R. and Dennerlein , J. T. 2001 . Reality-based models for vibration feedback in virtual environments . IEEE/ASME Transactions on Mechatronics , 6 : 245 – 252 .
   Web of Science ®Google Scholar
• Papadimitriou , C. 2008 . Becoming en-wheeled: The situated accomplishment of re-embodiment as a wheelchair user after spinal cord injury . Disability & Society , 23 : 691 – 704 .
   Web of Science ®Google Scholar
• Patton , J. L. , Stoykov , M. E. , Kovic , M. and Mussa-Ivaldi , F. A. 2006 . Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors . Experimental Brain Research , 168 : 368 – 383 .
   PubMed Web of Science ®Google Scholar
• Philips , G. R. , Catellier , A. A. , Barrett , S. F. and Wright , C. H. 2007 . Electrooculogram wheelchair control . Biomedical Sciences Instrumentation , 43 : 164 – 169 .
   PubMedGoogle Scholar
• Plotkin , A. , Sela , L. , Weissbrod , A. , Kahana , R. , Haviv , L. , Yeshurun , Y. and … Sobel , N. 2010 . Sniffing enables communication and environmental control for the severely disabled . Proceedings of the National Academy of Sciences of the United States of America , 107 : 14413 – 14418 .
   PubMed Web of Science ®Google Scholar
• Popovic , D. and Schwirtlich , L. 1988 . “ Belgrade active A/K prosthesis ” . In International conference on electrophysiological kinesiology , Edited by: de Vries , J. 337 – 343 . Amsterdam , , the Netherlands : E. Medica .
   Google Scholar
• Pressman , A. , Casadio , M. , Acosta , S. , Fishbach , A. and Mussa-Ivaldi , F. A first step in automatic ongoing recalibration for body-machine interface controller . Paper presented at the Sixth Computational Motor Control Workshop. Be’er Sheva, Israel ,
   Google Scholar
• Prochazka , A. 1996 . “ Proprioceptive feedback and movement regulation ” . In Handbook of physiology. Section 12. Exercise: Regulation and integration of multiple systems , Edited by: Rowell , L. B. and Shepherd , J. T. 89 – 127 . New York , NY : American Physiological Society .
   Google Scholar
• Ranganathan , R. and Newell , K. M. 2009 . Influence of augmented feedback on coordination strategies . Journal of Motor Behavior , 41 : 317 – 330 .
   PubMed Web of Science ®Google Scholar
• Ranganathan , R. and Newell , K. M. 2010 . Influence of motor learning on utilizing path redundancy . Neuroscience Letters , 469 : 416 – 420 .
   PubMed Web of Science ®Google Scholar
• Salem , C. and Zhai , S. An isometric tongue pointing device . ACM CHI 97 Conference on Human Factors in Computing Systems, Volume 1 of TECHNICAL NOTES: Input & Output in the Future , pp. 538 – 539 .
   Google Scholar
• Salisbury , S. K. , Choy , N. L. and Nitz , J. 2003 . Shoulder pain, range of motion, and functional motor skills after acute tetraplegia . Archives of Physical Medicine and Rehabilitation , 84 : 1480 – 1485 .
   PubMed Web of Science ®Google Scholar
• Santello , M. , Flanders , M. and Soechting , J. F. 1998 . Postural hand synergies for tool use . Journal of Neuroscience , 18 : 10105 – 10115 .
   PubMed Web of Science ®Google Scholar
• Saridis , G. N. and Gootee , T. P. 1982 . EMG pattern analysis and classification for a prosthetic arm . IEEE Transactions on Biomedical Engineering , 29 : 403 – 412 .
   PubMed Web of Science ®Google Scholar
• Scholz , J. P. and Schoner , G. 1999 . The uncontrolled manifold concept: Identifying control variables for a functional task . Experimental Brain Research , 126 : 289 – 306 .
   PubMed Web of Science ®Google Scholar
• Sejnowski , T. J. and Hinton , G. E. 1999 . Unsupervised learning: Foundations of neural computation , Cambridge , MA : MIT Press .
   Google Scholar
• Serruya , M. D. , Hatsopoulos , N. G. , Paninski , L. , Fellows , M. R. and Donoghue , J. P. 2002 . Instant neural control of a movement signal . Nature , 416 : 141 – 142 .
   PubMed Web of Science ®Google Scholar
• Seymour , W. 1998 . Remaking the body. Rehabilitation and change , London , , England : Routledge .
   Google Scholar
• Shimoga , K. B. 1993 . A survey of perceptual feedback issues in dexterous telemanipulation. II. Finger touch feedback . IEEE Virtual Reality Annual International Symposium , : 271 – 279 .
   Google Scholar
• Simpson , R. C. 2005 . Smart wheelchairs: A literature review . Journal of Rehabilitation Research and Development , 42 : 423 – 436 .
   PubMed Web of Science ®Google Scholar
• Soechting , J. F. , Buneo , C. A. , Herrmann , U. and Flanders , M. 1995 . Moving effortlessly in three dimensions: Does Donders’ law apply to arm movement? . Journal of Neuroscience , 15 : 6271 – 6280 .
   PubMed Web of Science ®Google Scholar
• Soechting , J. F. and Lacquaniti , F. 1989 . An assessment of the existence of muscle synergies during load perturbations and intentional movements of the human arm . Experimental Brain Research , 74 : 353 – 348 .
   PubMed Web of Science ®Google Scholar
• Tenenbaum , J. B. , de Silva , V. and Langford , J. C. 2000 . A global geometric framework for nonlinear dimensionality reduction . Science , 290 : 2319 – 2323 .
   PubMed Web of Science ®Google Scholar
• Ting , L. H. and Macpherson , J. M. 2005 . A limited set of muscle synergies for force control during a postural task . Journal of Neurophysiology , 93 : 609 – 613 .
   PubMed Web of Science ®Google Scholar
• Ting , L. H. and McKay , J. L. 2007 . Neuromechanics of muscle synergies for posture and movement . Current Opinion in Neurobiology , 17 : 622 – 628 .
   PubMed Web of Science ®Google Scholar
• Todorov , E. and Jordan , M. I. 2002 . Optimal feedback control as a theory of motor coordination . Nature Neuroscience , 5 : 1226 – 1235 .
   PubMed Web of Science ®Google Scholar
• Townsend , G. , LaPallo , B. , Boulay , C. , Krusienski , D. , Frye , G. Hauser , C. 2010 . A novel P300-based brain-computer interface stimulus presentation paradigm: Moving beyond rows and columns . Clinical Neurophysiology , 121 : 1109 – 1120 .
   PubMed Web of Science ®Google Scholar
• Tresch , M. C. , Saltiel , P. and Bizzi , E. 1999 . The construction of movement by the spinal cord . Nature Neuroscience , 2 : 162 – 167 .
   PubMed Web of Science ®Google Scholar
• Tyler , M. , Danilov , Y. and Bach , Y. R. P. 2003 . Closing an open-loop control system: Vestibular substitution through the tongue . Journal of Integrative Neuroscience , 2 : 159 – 164 .
   PubMedGoogle Scholar
• Van der Maaten , L. J. P. , Postma , E. O. and van den Herik , H. J. 2009 . Dimensionality reduction: A comparative review (TiCC-TR 2009–005) . Tilburg University Technical Report, The Netherlands
   Google Scholar
• Vergaro , E. , Casadio , M. , Squeri , V. , Giannoni , P. , Morasso , P. and Sanguineti , V. 2010 . Self-adaptive robot training of stroke survivors for continuous tracking movements . Journal of NeuroEngineering and Rehabilitation , 7 : 13
   PubMed Web of Science ®Google Scholar
• Wan , E. A. 1990 . Neural network classification: A Bayesian interpretation . IEEE Transactions on Neural Networks , 1 : 303 – 305 .
   PubMedGoogle Scholar
• Wiener , N. 1949 . Extrapolation, interpolation, and smoothing of stationary time series, with engineering applications , Cambridge , MA : Technology Press of the Massachusetts Institute of Technology .
   Google Scholar
• Wiener , N. 1950 . The human use of human beings: Cybernetics and society , London , , England : Eyre & Spottiswoode .
   Google Scholar
• Wolpaw , J. R. 2004 . Brain-computer interfaces (BCIs) for communication and control: A mini-review . Supplements to Clinical Neurophysiology , 57 : 607 – 613 .
   PubMedGoogle Scholar
• Wolpaw , J. R. 2007 . Brain-computer interfaces as new brain output pathways . Journal of Physiology , 579 : 613 – 619 .
   PubMed Web of Science ®Google Scholar
• Wolpaw , J. R. , Birbaumer , N. , Heetderks , W. J. , McFarland , D. J. , Peckham , P. H. , Schalk , G. and … Vaughan , T. M. 2000 . Brain-computer interface technology: A review of the first international meeting . IEEE Transactions on Rehabilitation Engineering , 8 : 164 – 173 .
   PubMedGoogle Scholar
• Wolpaw , J. R. , Birbaumer , N. , McFarland , D. J. , Pfurtscheller , G. and Vaughan , T. M. 2002 . Brain-computer interfaces for communication and control . Clinical Neurophysiology , 113 : 767 – 791 .
   PubMed Web of Science ®Google Scholar
• Wu , W. , Black , M. J. , Gao , Y. , Bienenstock , E. , Serruya , M. , Shaikhouni , A. and Donoghue , J. P. 2003 . Neural decoding of cursor motion using a Kalman filter . Advances in Neural Information Processing Systems , 15 : 133 – 140 .
   Google Scholar
• Wu , W. , Black , M. J. , Mumford , D. , Gao , Y. , Bienenstock , E. and Donoghue , J. P. 2004 . Modeling and decoding motor cortical activity using a switching Kalman filter . IEEE Transactions on Biomedical Engineering , 51 : 933 – 942 .
   PubMed Web of Science ®Google Scholar
• Yang , J. F. and Scholz , J. P. 2005 . Learning a throwing task is associated with differential changes in the use of motor abundance . Experimental Brain Research , 163 : 137 – 158 .
   PubMed Web of Science ®Google Scholar
• Zecca , M. , Micera , S. , Carrozza , M. C. and Dario , P. 2002 . Control of multifunctional prosthetic hands by processing the electromyographic signal . Critical Reviews in Biomedical Engineering , 30 : 459 – 485 .
   PubMedGoogle Scholar