Brain Machine Interface Control of an Robotic Exoskeleton in Training Upper Extremity Functions in Stroke

Recruiting

Phase N/A Results N/A

References

Publications

  • Bhagat NA, French J, Venkatakrishnan A, Yozbatiran N, Francisco GE, O'Malley MK, Contreras-Vidal JL. Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:4127-30. doi: 10.1109/EMBC.2014.6944532. Pubmed ID:25570900
  • Bhagat NA, Venkatakrishnan A, Abibullaev B, Artz EJ, Yozbatiran N, Blank AA, French J, Karmonik C, Grossman RG, O'Malley MK, Francisco GE, Contreras-Vidal JL. Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors. Front Neurosci. 2016 Mar 31;10:122. doi: 10.3389/fnins.2016.00122. eCollection 2016. Pubmed ID:27065787
  • Bradberry TJ, Gentili RJ, Contreras-Vidal JL. Fast attainment of computer cursor control with noninvasively acquired brain signals. J Neural Eng. 2011 Jun;8(3):036010. doi: 10.1088/1741-2560/8/3/036010. Epub 2011 Apr 15. Pubmed ID:21493978
  • Yozbatiran N, Berliner J, O'Malley MK, Pehlivan AU, Kadivar Z, Boake C, Francisco GE. Robotic training and clinical assessment of upper extremity movements after spinal cord injury: a single case report. J Rehabil Med. 2012 Feb;44(2):186-8. doi: 10.2340/16501977-0924. Pubmed ID:22334347
  • A. Gupta, V. Patolgu, M.K. O'Malley, and C.M. Burgar (2008). Design, Control and Performance of RiceWrist: A Force Feedback Wrist Exoskeleton for Rehabilitation and Training, International Journal of Robotics Research (IJRR) 27(2): 233-51.

Related Links

Sources for Trial Information