ORIGINAL RESEARCH

Effect of robot-assisted gait training on biomechanics of ankle joint in patients with post-stroke hemiparesis

About authors

Research Center of Neurology, Moscow, Russia

Correspondence should be addressed: Anton S. Klochkov
Volokolamskoe shosse, 80, Moscow, 125367; ur.ygoloruen@vokhcolk

About paper

Funding: this study was state-funded.

Compliance with ethical standards: the study was approved by the Ethics Committee of the Research Center of Neurology (Protocol № 14/09 dated December 23, 2009). Informed consent was obtained from all study participants.

Author contribution: Klochkov AS — study planning, patient recruitment, literature analysis, data interpretation, manuscript preparation; Zimin AA — statistical analysis, data interpretation, manuscript preparation; Khizhnikova AE — literature analysis, data interpretation, manuscript preparation; Suponeva NA, Piradov MA — manuscript preparation.

Received: 2020-09-28 Accepted: 2020-10-14 Published online: 2020-10-30
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The key factor promoting post-stroke gait disturbances is motor impairment of the ankle joint (AJ) which results in pathological synergies. Robotic devices used for gait training are equipped with hip and knee joint actuators. However, there is no consensus in the literature on their effect on AJ movements. The aim of this study was to investigate the effect of robot-assisted gait training on AJ movements in patients with post-stroke paresis. The study recruited 22 hemispheric stroke survivors. They motor function was assessed using clinical scales and motion capture analysis. All patients received 11 robot-assisted gait training session. After rehabilitation, the total score on the Fugl-Meyer Assessment scale increased from 146.5 to 152 points (p < 0.05); for the lower limb, the score increased from 18 to 20.5 points (p < 0.05). The muscle tone of ankle extensors decreased from 2.5 to 2.0 points on the modified Ashworth scale (p < 0.05). The duration of the stance phase increased from 28.0 to 33.5% relative to the total gait cycle (GC). The main difference in the GC structure before and after rehabilitation is the presence of 3 GC parts instead of 5, suggesting consolidation of patients’ goniograms at 1-61% of GC. Comparison of joint angles before and after rehabilitation revealed that only the interquartile ranges (IR) were different (р < 0.05). The authors conclude that robot-assisted training with knee and hip joint actuators indirectly affects the kinematic parameters of AJ by promoting a shift towards the average gait kinematics.

Keywords: stroke, neurorehabilitation, adaptation, movement biomechanics, gait disturbances, robot-assisted therapy, motion analysis

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