• DocumentCode
    140280
  • Title

    An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton

  • Author

    Yongtian He ; Nathan, Kevin ; Venkatakrishnan, Anusha ; Rovekamp, Roger ; Beck, Christopher ; Ozdemir, Recep ; Francisco, Gerard E. ; Contreras-Vidal, Jose L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Houston, Houston, TX, USA
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    3985
  • Lastpage
    3988
  • Abstract
    Stroke remains a leading cause of disability, limiting independent ambulation in survivors, and consequently affecting quality of life (QOL). Recent technological advances in neural interfacing with robotic rehabilitation devices are promising in the context of gait rehabilitation. Here, the X1, NASA´s powered robotic lower limb exoskeleton, is introduced as a potential diagnostic, assistive, and therapeutic tool for stroke rehabilitation. Additionally, the feasibility of decoding lower limb joint kinematics and kinetics during walking with the X1 from scalp electroencephalographic (EEG) signals - the first step towards the development of a brain-machine interface (BMI) system to the X1 exoskeleton - is demonstrated.
  • Keywords
    aerospace biophysics; brain-computer interfaces; electroencephalography; electromyography; extraterrestrial life; gait analysis; goniometers; medical robotics; medical signal processing; neurophysiology; patient rehabilitation; BMI; EEG; NASA X1 powered lower limb exoskeleton; QOL; brain-machine interface; gait rehabilitation; lower limb joint kinematics; neural interfacing; neurorobotic interface; quality-of-life; scalp electroencephalographic signals; stroke rehabilitation; walking; Decoding; Electroencephalography; Electromyography; Exoskeletons; Kinematics; Legged locomotion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944497
  • Filename
    6944497