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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Fig. 1. Distribution of patients on the FAC scale before and after gait rehabilitation
Fig. 2. Distribution of patients on the modified Ashworth scale (represented as percentage)
Fig. 3. Goniograms of ankle joint flexion/extension in the ten-percentile intervals of the gait cycle before (A) and after (B) rehabilitation; comparison of median values before and after rehabilitation (C)
Fig. 4. The ankle joint angle range correlation coefficient for each two consecutive GC parts on the goniograms
Fig. 5. Characteristics of the ten-percentile intervals of the gait cycle in the ankle joint of the paretic limb before (A) and after (B) rehabilitation; comparison of median values before and after rehabilitation (C)
Fig. 6. Torque peaks during ankle flexion/extension of the paretic limb at different gait cycle timepoints before and after rehabilitation
Table 1. Patients characteristics
Table 2. Comparison of gait cycle parts before and after rehabilitation
Note: the data were compared using the Mann–Whitney U and Tukey’s tests. * — р < 0.05.
Table 3. Statistical characteristics of GC parts