Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors

Jing Ye, Yasutaka Nakashima, Takao Watanabe, Masatoshi Seki, Bo Zhang, Quanquan Liu, Yuki Yokoo, Yo Kobayashi, Qixin Cao, Masakatsu G. Fujie

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

Abstract

Recently, a large amount of stroke survivors are suffering from motor impairment. However, existed therapy interventions have limited effects to restore normal motor function. Thus, we proposed a novel control strategy for gait rehabilitation of hemiplegic patients. The whole system consists of a Functional Electrical Stimulation (FES) device and Treadmill-Walk system. FES contributes to improve the quality of the gait based on real-time adjustment of gait pattern. During gait, the electrical stimuli from separate output channels of an FES device are launched to stimulate two lower extremity muscles (Tibialis Anterior (TA) and Hamstrings). Stimulus launching procedure is based on identifying subject's gait state (stance and swing phases). According to the current variation of treadmill motor, gait phase and muscle activation of lower limbs can be determined during walking on Treadmill-Walk. Three able-bodied subjects simulated hemiplegic patients in the experiment. The results indicated that the proposed method is a safe, feasible and promising intervention.

Original languageEnglish
Title of host publicationIEEE International Conference on Intelligent Robots and Systems
Pages977-982
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013 - Tokyo
Duration: 2013 Nov 32013 Nov 8

Other

Other2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013
CityTokyo
Period13/11/313/11/8

Fingerprint

Exercise equipment
Patient rehabilitation
Muscle
Launching
Chemical activation
Experiments

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

Ye, J., Nakashima, Y., Watanabe, T., Seki, M., Zhang, B., Liu, Q., ... Fujie, M. G. (2013). Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors. In IEEE International Conference on Intelligent Robots and Systems (pp. 977-982). [6696469] https://doi.org/10.1109/IROS.2013.6696469

Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors. / Ye, Jing; Nakashima, Yasutaka; Watanabe, Takao; Seki, Masatoshi; Zhang, Bo; Liu, Quanquan; Yokoo, Yuki; Kobayashi, Yo; Cao, Qixin; Fujie, Masakatsu G.

IEEE International Conference on Intelligent Robots and Systems. 2013. p. 977-982 6696469.

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

Ye, J, Nakashima, Y, Watanabe, T, Seki, M, Zhang, B, Liu, Q, Yokoo, Y, Kobayashi, Y, Cao, Q & Fujie, MG 2013, Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors. in IEEE International Conference on Intelligent Robots and Systems., 6696469, pp. 977-982, 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013, Tokyo, 13/11/3. https://doi.org/10.1109/IROS.2013.6696469
Ye J, Nakashima Y, Watanabe T, Seki M, Zhang B, Liu Q et al. Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors. In IEEE International Conference on Intelligent Robots and Systems. 2013. p. 977-982. 6696469 https://doi.org/10.1109/IROS.2013.6696469
Ye, Jing ; Nakashima, Yasutaka ; Watanabe, Takao ; Seki, Masatoshi ; Zhang, Bo ; Liu, Quanquan ; Yokoo, Yuki ; Kobayashi, Yo ; Cao, Qixin ; Fujie, Masakatsu G. / Development of a novel gait rehabilitation system based on FES and treadmill-walk for convalescent hémiplégie stroke survivors. IEEE International Conference on Intelligent Robots and Systems. 2013. pp. 977-982
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