Robot assisted gait training with active leg exoskeleton (ALEX)

  • Sai K. Banala
  • , Seok Hun Kim
  • , Sunil K. Agrawal
  • , John P. Scholz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Gait training of stroke survivors can help in retraining their muscles and improving their gait pattern. Robot assisted gait training (RAGT) was developed for stroke survivors using ALEX and force-field controller, which use assist-as-needed paradigm for rehabilitation. In this paradigm undesirable gait motion is resisted and assistance is provided towards the desirable motion. The force-field controller achieves this paradigm by applying forces at the foot of the subject. Two stroke survivors participated in a 15-day gait training study each with ALEX. The results show that by the end of the training the gait pattern of the patients was improved towards healthy subjects gait pattern. Improvement is seen as increase in the size of the patients' gait pattern, increase in knee and ankle joint excursions and increase in their walking speed on the treadmill.

Original languageEnglish
Title of host publicationProceedings of the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008
Pages653-658
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008 - Scottsdale, AZ, United States
Duration: Oct 19 2008Oct 22 2008

Publication series

NameProceedings of the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008

Conference

Conference2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008
Country/TerritoryUnited States
CityScottsdale, AZ
Period10/19/0810/22/08

ASJC Scopus Subject Areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Keywords

  • Force field control
  • Gait rehabilitation
  • Rehabilitation robotics

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