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Towards Practical Brain-Computer Interfaces pp 131–153Cite as

Brain Computer Interface for Hand Motor Function Restoration and Rehabilitation

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Part of the book series: Biological and Medical Physics, Biomedical Engineering ((BIOMEDICAL))

Abstract

Long-term disability is often associated with persistent impairment of an upper limb. In this respect, neurological rehabilitation aims to lessen motor impairment and related disability either by restoring functions with the help of assistive devices to aid daily living activities or by applying rehabilitative protocols based on task-specific training and practice to enhance recovery of motor functions. Brain–computer interface technology is a promising rehabilitation device in every such sense. On the one hand, BCI systems can be utilized to bypass central nervous system injury by controlling neuroprosthetics for patient’s arm to manage reach and grasp functional activities in peripersonal space. On the other, BCI technology can encourage motor training and practice by offering an on-line feedback about brain signals associated with mental practice, motor intention and other neural recruitment strategies, and thus helping to guide neuroplasticity associated with post-stroke motor impairment and its recovery. This chapter aims to provide a focused overview of non invasive-BCI technology advancement to serve patients in the field of restoration and recovery of hand motor function impairment accompanying spinal cord injuries and stroke.

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Acknowledgements

This work is supported by the European ICT Programme Project FP7-224631 (TOBI—Tools for Brain Computer Interaction). This chapter only reflects the authors’ views and funding agencies are not liable for any use that may be made of the information contained herein.

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Authors and Affiliations

  1. Clinical Neurophysiology, Neuroelectrical Imaging and BCI Lab, Fondazione Santa Lucia, IRCCS, Via Ardeatina, 306, 00179, Rome, Italy

    Donatella Mattia & Floriana Pichiorri

  2. Spinal Cord Injury Unit, Fondazione Santa Lucia, IRCCS, Via Ardeatina, 306, 00179, Rome, Italy

    Marco Molinari

  3. Spinal Cord Injury Center, Heidelberg University Hospital, Schlierbacher Landstr. 200a, 69118, Heidelberg, Germany

    Rüdiger Rupp

Authors
  1. Donatella Mattia
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  2. Floriana Pichiorri
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  3. Marco Molinari
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  4. Rüdiger Rupp
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Correspondence to Donatella Mattia or Rüdiger Rupp .

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  1. Baltimore Drive 5700Apt 167, La Mesa, 91942, California, USA

    Brendan Z. Allison

  2. Starlab Neuroscience Research, Teodor Roviralta 45, Barcelona, 08022, Spain

    Stephen Dunne

  3. , School of Engineering, Swiss Federal Institute of Technology, EPFL STI-CNBI, ELB 141, Station 11, Lausanne, 1015, Switzerland

    Robert Leeb

  4. , School of Engineering, Swiss Federal Institute of Technology, EPFL STI-CNBI, ELB 138. Station 11, Lausanne, 1015, Switzerland

    José Del R. Millán

  5. , Faculty EEMCS, University of Twente, Enschede, 7500, Netherlands

    Anton Nijholt

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Mattia, D., Pichiorri, F., Molinari, M., Rupp, R. (2012). Brain Computer Interface for Hand Motor Function Restoration and Rehabilitation. In: Allison, B., Dunne, S., Leeb, R., Del R. Millán, J., Nijholt, A. (eds) Towards Practical Brain-Computer Interfaces. Biological and Medical Physics, Biomedical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29746-5_7

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