首页|Zhejiang Chinese Medical University Reports Findings in Stroke (How robot-assist ed gait training affects gait ability, balance and kinematic parameters afterst roke: a systematic review and metaanalysis)
Zhejiang Chinese Medical University Reports Findings in Stroke (How robot-assist ed gait training affects gait ability, balance and kinematic parameters afterst roke: a systematic review and metaanalysis)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Cerebrovascular Diseas es and Conditions - Stroke is the subject ofa report. According to news reporti ng originating in Zhejiang, People’s Republic of China, by NewsRxjournalists, r esearch stated, “Gait ability is often cited by stroke survivors. Robot-assisted gait training(RAGT) can help stroke patients with lower limb motor impairment regain motor coordination.”10The news reporters obtained a quote from the research from Zhejiang Chinese Medi cal University,“PubMed, Cochrane Library, Embase were systematically searched u ntil September 2023, to identify randomizedcontrolled trials presenting: stroke survivors as participants; RAGT as intervention; conventionalrehabilitation as a comparator; gait assessment, through scales or quantitative parameters, as ou tcomemeasures. Twenty-seven publications involving 1167 patients met the inclus ion criteria. Meta-analysisshowed no significant differences in speed, cadence, spatial symmetry, and changes in joint mobility anglesbetween the RAGT group a nd the control group. In addition, RAGT was associated with changes inaffected side step length (SMD=0.02, 95% CI: 0.01, 0.03; P<0.0001), temporal symmetry (SMD=-0.38,95% CI: -0.6, -0.16; P=0.00 06], Six-Minute Walk Test (SMD=25.14, 95% CI: 1 0.19, 40.09; P=0.0010]and Functional Ambulation Categories ( SMD=0.32, 95% CI: 0.01, 0.63; P=0.04). According to thePEDro scal e, 19 (70.4%) studies were of high quality and eight were of modera te quality (29.6%).Taken together, the review synthesis showed tha t RAGT might have a potential role in the recovery ofwalking dysfunction after stroke. However, its superiority over conventional rehabilitation requires furth erresearch.”
ZhejiangPeople’s Republic of ChinaAsiaCerebrovascular Diseases and ConditionsEmerging TechnologiesHealth and MedicineMachine LearningRobotRoboticsStroke
NETL
NSTL
