{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:51:08Z","timestamp":1792799468357,"version":"4.5.0"},"reference-count":43,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T00:00:00Z","timestamp":1681171200000},"content-version":"vor","delay-in-days":100,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"General Scientific Research Project of Zhejiang Department of Education, China","award":["Y202145964"],"award-info":[{"award-number":["Y202145964"]}]},{"name":"General Scientific Research Project of Zhejiang Department of Education, China","award":["2022KY1048"],"award-info":[{"award-number":["2022KY1048"]}]},{"name":"General Scientific Research Project of Zhejiang Department of Education, China","award":["2021C03050"],"award-info":[{"award-number":["2021C03050"]}]},{"name":"General Scientific Research Project of Zhejiang Provincial Health Commission, China","award":["Y202145964"],"award-info":[{"award-number":["Y202145964"]}],"id":[{"id":"https:\/\/ror.org\/00va36f15","id-type":"ROR","asserted-by":"crossref"}]},{"name":"General Scientific Research Project of Zhejiang Provincial Health Commission, China","award":["2022KY1048"],"award-info":[{"award-number":["2022KY1048"]}],"id":[{"id":"https:\/\/ror.org\/00va36f15","id-type":"ROR","asserted-by":"crossref"}]},{"name":"General Scientific Research Project of Zhejiang Provincial Health Commission, China","award":["2021C03050"],"award-info":[{"award-number":["2021C03050"]}],"id":[{"id":"https:\/\/ror.org\/00va36f15","id-type":"ROR","asserted-by":"crossref"}]},{"name":"Key Scientific Research and Development Program of Zhejiang Province, China","award":["Y202145964"],"award-info":[{"award-number":["Y202145964"]}]},{"name":"Key Scientific Research and Development Program of Zhejiang Province, China","award":["2022KY1048"],"award-info":[{"award-number":["2022KY1048"]}]},{"name":"Key Scientific Research and Development Program of Zhejiang Province, China","award":["2021C03050"],"award-info":[{"award-number":["2021C03050"]}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BioMed Research International"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:p>\n                    <jats:italic>Background<\/jats:italic>\n                    . The efficacy of robotic\u2010assisted gait training (RAGT) should be considered versatilely; among which, gait assessment is one of the most important measures; observational gait assessment is the most commonly used method in clinical practice, but it has certain limitations due to the deviation of subjectivity; instrumental assessments such as three\u2010dimensional gait analysis (3DGA) and surface electromyography (sEMG) can be used to obtain gait data and muscle activation during walking in stroke patients with hemiplegia, so as to better evaluate the rehabilitation effect of RAGT.\n                    <jats:italic>Objective<\/jats:italic>\n                    . This single\u2010blind randomized controlled trial is aimed at analyzing the impact of RAGT on the 3DGA parameters and muscle activation in patients with subacute stroke and evaluating the clinical effect of improving walking function of RAGT.\n                    <jats:italic>Methods<\/jats:italic>\n                    . This randomized controlled trial evaluated the improvement of 4\u2010week RAGT on patients with subacute stroke by 3DGA and surface electromyography (sEMG), combined with clinical scales: experimental group (\n                    <jats:italic>n<\/jats:italic>\n                    = 18, 20 sessions of RAGT) or control group (\n                    <jats:italic>n<\/jats:italic>\n                    = 16, 20 sessions of conventional gait training). Gait performance was evaluated by the 3DGA, and clinical evaluations based on Fugl\u2010Meyer assessment for lower extremity (FMA\u2010LE), functional ambulation category (FAC), and 6\u2010minute walk test (6MWT) were used. Of these patients, 30 patients underwent sEMG measurement synchronized with 3DGA; the cocontraction index in swing phase of the knee and ankle of the affected side was calculated.\n                    <jats:italic>Results<\/jats:italic>\n                    . After 4 weeks of intervention, intragroup comparison showed that walking speed, temporal symmetry, bilateral stride length, range of motion (ROM) of the bilateral hip, flexion angle of the affected knee, ROM of the affected ankle, FMA\u2010LE, FAC, and 6MWT in the experimental group were significantly improved (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05), and in the control group, significant improvements were observed in walking speed, temporal symmetry, stride length of the affected side, ROM of the affected hip, FMA\u2010LE, FAC, and 6MWT (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05). Intergroup comparison showed that the experimental group significantly outperformed the control group in walking speed, temporal symmetry of the spatiotemporal parameters, ROM of the affected hip and peak flexion of the knee in the kinematic parameters, and the FMA\u2010LE and FAC in the clinical scale (\n                    <jats:italic>p<\/jats:italic>\n                    &lt; 0.05). In patients evaluated by sEMG, the experimental group showed a noticeable improvement in the cocontraction index of the knee (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.042), while no significant improvement was observed in the control group (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.196), and the experimental group was better than the control group (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.020). No noticeable changes were observed in the cocontraction index of the ankle in both groups (\n                    <jats:italic>p<\/jats:italic>\n                    &gt; 0.05).\n                    <jats:italic>Conclusions<\/jats:italic>\n                    . Compared with conventional gait training, RAGT successfully improved part of the spatiotemporal parameters of patients and optimized the motion of the affected lower limb joints and muscle activation patterns during walking, which is crucial for further rehabilitation of walking ability in patients with subacute stroke. This trial is registered with\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.chictr.org.cn\/\">ChiCTR2200066402<\/jats:ext-link>\n                    .\n                  <\/jats:p>","DOI":"10.1155\/2023\/7563802","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T15:35:25Z","timestamp":1681227325000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Three\u2010Dimensional Gait Analysis and sEMG Measures for Robotic\u2010Assisted Gait Training in Subacute Stroke: A Randomized Controlled 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