Chung, Sang Hun Choi, Taejin Hwang, Yoha Kim, Hyungmin Kim, Seung-Jong Chun, Min Ho Lee, Jong Min 2024-01-19T11:09:01Z 2024-01-19T11:09:01Z 2022-03-07 2017 1945-7901 https://pubs.kist.re.kr/handle/201004/114676 It is well known that the activation of plantar flexors have a strong influence on the walking speed. If the gait speed can be predicted using this relationship, a post-stroke hemiparetic patient could control a gait rehabilitation robot according to his or her gait intention, and the robotic gait rehabilitation effect could be further improved. To find out this relationship, 9 nondisabled subjects and 4 chronic post-stroke hemiparetic subjects performed overground level walking at a comfortable pace, a slow pace, a fast pace, and an increasing pace with electromyogram sensors attached on plantar flexors. Soleus among plantar flexors showed the most stable relationship with walking speed. The relationship between maximum activation level of soleus electromyogram during stance phase before toe-off and walking speed during swing phase after the same toe-off was modeled by a polynomial regression model. The model outputs were then compared to the measured walking speeds using coefficients of determination (R-2). The average R-2 values are 0.594 and 0.692 for 1st and 2nd order models respectively in the nondisabled subjects. The average R-2 values are 0.598 and 0.623 for the unaffected side and 0.388 and 0.394 for the affected side in the chronic subjects. The results show the feasibility of applying the soleus-walking speed relationship to control the robot gait speed at will. A walking speed estimation method is proposed using only a walking step in real time. English IEEE Walking Speed Intention Model using Soleus Electromyogram Signal of Nondisabled and Post-stroke Hemiparetic Patients Conference 1 International Conference on Rehabilitation Robotics (ICORR), pp.308 - 313 International Conference on Rehabilitation Robotics (ICORR) 308 313 US London, ENGLAND 2017-07-17 2017 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS (ICORR) 000426850800054 2-s2.0-85034844227 Proceedings Paper