• DocumentCode
    1090948
  • Title

    Automatic Synchronization of Functional Electrical Stimulation and Robotic Assisted Treadmill Training

  • Author

    Dohring, Mark E. ; Daly, Janis J.

  • Author_Institution
    Louis Stokes Cleveland VA Med. Center, US Dept. of Veterans Affairs, Cleveland, OH
  • Volume
    16
  • Issue
    3
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    310
  • Lastpage
    313
  • Abstract
    This work presents a means to automatically synchronize two promising gait training technologies to address gait deficits in stroke survivors: functional electrical stimulation using intramuscular electrodes (FES-IM) and the Lokomat robotic gait orthosis. A system of hardware and software was developed to achieve the automatic synchronization. A series of bench tests were performed to verify the feasibility and reliability of automatic synchronization. The bench tests showed that automatic synchronization of FES-IM to the Lokomat gait cycle was feasible and reliable. Automatic synchronization was more consistent than manually triggered stimulation (10-fold smaller standard deviation of latency), and produced no early or missed stimulations across 634 strides. Automatic synchronization had greater accuracy than manually triggered stimulation, producing stimulation timed to an accuracy of 2.5% of one gait cycle duration (heel strike to heel strike ).
  • Keywords
    bioelectric phenomena; biomedical electrodes; gait analysis; medical robotics; neuromuscular stimulation; orthotics; patient rehabilitation; Lokomat robotic gait orthosis; functional electrical stimulation; gait training; intramuscular electrodes; robotic assisted treadmill training; stroke survivors; Automation; Neuromuscular Stimulation; Robots; functional electrical stimulation (FES); gait; neuromuscular stimulation; robots; Electric Stimulation Therapy; Equipment Design; Equipment Failure Analysis; Exercise Test; Feasibility Studies; Feedback; Gait Disorders, Neurologic; Humans; Physical Therapy Modalities; Robotics; Systems Integration;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2008.920081
  • Filename
    4463637