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A skill acquisition based framework for aiding lower limb injury rehabilitation using a single inertial sensor with concurrent visual feedback

机译:基于技能获取的框架,用于使用单个惯性传感器具有并发视觉反馈的单个惯性传感器辅助较低的肢体伤害康复

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Technology to aid the acquisition and performance of motor skills is becoming increasingly commonplace however there is distinct disconnect between these technological interventions and a detailed understanding of how to design technology to best instruct a learner. Using a single inertial sensor with bespoke concurrent visual feedback, based in a MATLAB data visualisation environment, this paper presents a skill acquisition framework to facilitate home based physiotherapy interventions. When athletes and patients are prescribed at home based physiotherapy interventions the current literature reports low rates of adherence. In addition the lack of monitoring and exercise classification raises concerns towards the quality of rehabilitation program outcomes. A trial was conducted randomly assigning twenty two uninjured participants to two categories, one with the aid of the rehabilitation software and the other a control group with no feedback. Both groups received the same visual instructions on the three simple leg static stretching tasks that are indicative of lower limb injury physiotherapy interventions. The results showed statically significant improvements in both the program adherence as well as the error mitigation of the feedback group in comparison to the control. Substantiating the skill acquisition framework errors for the feedback group seemed to lessen over time synonymous with an immediate learning effect as a result of the concurrent feedback. The findings suggest that at home physiotherapy interventions could be enhanced by using a concurrent biofeedback skill acquisition based single inertial sensor system. Evidently improving adherence, technique and allowing for the data to be accrued over time and relayed to practitioners and coaching staff ultimately giving them heightened confidence in monitoring physiotherapy progress. The wider implications means this research could be useful in tracking and providing feedback for a range of sports injury circumstances to ultimately improve the outcomes of the physiotherapy interventions.
机译:帮助获取和表现的技术越来越普遍,然而,这些技术干预措施与如何设计技术与最佳指导学习者的详细了解。本文采用基于MATLAB数据可视化环境的单个惯性传感器,基于MATLAB数据可视化环境,提出了一种技能获取框架,可促进基于家庭的物理治疗干预措施。当运动员和患者在家庭的物理治疗干预措施中规定,目前的文献报告了低依从性。此外,缺乏监测和运动分类提出了对康复计划结果质量的担忧。随机将二十二名未受吸收参与者随机分配给两个类别,借助康复软件和另一个没有反馈的对照组。两组在三个简单的腿静态拉伸任务上接到了相同的视觉指示,该任务指示下肢损伤物理治疗干预措施。结果表明,与控制相比,方案遵守以及反馈组的错误缓解静态改进。实质上,反馈组的技能获取框架错误似乎随着时间的同义而导致即时学习效果减少。结果表明,通过使用基于并发的生物反馈技能获取的单一惯性传感器系统,可以提高家庭物理治疗干预措施。显然提高了遵守,技术和允许数据随时间累积,并转发给从业者和教练工作人员最终让他们提高了监测物理治疗进展的信心。更广泛的含义意味着这项研究对于跟踪和提供一系列运动伤害情况的反馈,最终能够改善物理治疗干预的结果。

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