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Real-time foot clearance biofeedback to assist gait rehabilitation following stroke: a randomized controlled trial protocol

机译:实时脚间隙生物融产背面以协助行程康复之后:随机对照试验方案

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The risk of falling is significantly higher in people with chronic stroke and it is, therefore, important to design interventions to improve mobility and decrease falls risk. Minimum toe clearance (MTC) is the key gait cycle event for predicting tripping-falls because it occurs mid-swing during the walking cycle where forward velocity of the foot is maximum. High forward velocity coupled with low MTC increases the probability of unanticipated foot-ground contacts. Training procedures to increase toe-ground clearance (MTC) have potential, therefore, as a falls-prevention intervention. The aim of this project is to determine whether augmented sensory information via real-time visual biofeedback during gait training can increase MTC. Participants will be aged ?18?years, have sustained a single stroke (ischemic or hemorrhagic) at least six?months previously, able to walk 50?m independently, and capable of informed consent. Using a secure web-based application (REDCap), 150 participants will be randomly assigned to either no-feedback (Control) or feedback (Experimental) groups; all will receive 10 sessions of treadmill training for up to 10?min at a self-selected speed over 5-6 weeks. The intervention group will receive real-time, visual biofeedback of MTC during training and will be asked to modify their gait pattern to match a required "target" criterion. Biofeedback is continuous for the first six sessions then progressively reduced (faded) across the remaining four sessions. Control participants will walk on the treadmill without biofeedback. Gait assessments are conducted at baseline, immediately following the final training session and then during follow-up, at one, three, and six?months. The primary outcome measure is MTC. Monthly falls calendars will also be collected for 12?months from enrolment. The project will contribute to understanding how stroke-related changes to sensory and motor processes influence gait biomechanics and associated tripping risk. The research findings will guide our work in gait rehabilitation following stroke and may reduce falls rates. Treadmill training procedures incorporating continuous real-time feedback may need to be modified to accommodate stroke patients who have greater difficulties with treadmill walking. Australia New Zealand Clinical Trials Registry, ACTRN12617000250336 . Registered on 17 February 2017.
机译:慢性卒中人们跌倒的风险显着高,因此对改善流动性的干预措施来说,这是重要的,这是重要的,并降低风险。最小脚趾间隙(MTC)是预测跳闸落下的关键步态周期事件,因为它在步行循环期间发生中转,其中脚的前进速度最大。高压速度与低MTC耦合增加了意外的脚踏接地触点的可能性。因此,提高趾趾的培训程序(MTC)具有潜在的预防干预。该项目的目的是通过步态培训期间通过实时视觉生物反馈来确定增强的感官信息是否可以增加MTC。参与者将年龄> 18岁?年,持续一次卒中(缺血性或出血)至少六个月以前,能够独立地走50米,并能够提供知情同意。使用安全的基于Web的应用程序(REDCAP),将随机分配150名参与者,以无反馈(控制)或反馈(实验)组;在5-6周内,所有人都将收到10次跑步机培训课程最多10?分钟。干预组将在培训期间获得实时,MTC的视觉生物反馈,并将被要求修改其步态模式以匹配所需的“目标”标准。生物反馈对于前六个会话是连续的,然后在剩下的四个会话中逐渐减少(褪色)。控制参与者将在没有生物融产的情况下走在跑步机上。步态评估是在基线进行的,立即在最终培训课程之后,然后在后续行动,三个和六个月内进行。主要结果措施是MTC。每月跌倒日历也将收集12个月的入学。该项目将有助于了解与感官和电机流程的行程相关变化如何影响步态生物力学和相关的绊倒风险。研究结果将指导我们在中风后步态康复的工作,并可能减少跌倒率。可能需要修改包含连续实时反馈的跑步机训练程序,以适应具有更大困难与跑步机行走有更大困难的行程患者。澳大利亚新西兰临床试验登记处,ACTRN12617000250336。 2017年2月17日注册。

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