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Real-time biofeedback of gait parameters using infrared position sensors

机译:使用红外位置传感器的步态参数的实时生物回收

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Developing sensor technologies for avoiding foot contact with obstacles or uneven surfaces is a potentially powerful intervention for maintaining balance while undertaking hazardous gait tasks. Such interventions are particularly important in individuals influenced either by ageing or gait pathologies. This research describes an infrared sensor system that provides real-time feedback of toe position with respect to the support surface to enable safer ground clearance. Infrared position sensors were used to monitor shoe end points and foot trajectory with respect to the walking surface. Vertical displacement of the toe was displayed in real-time using a data projector such that subjects could adjust their toe clearance. Ten healthy young and 10 healthy older subjects undertook normal unconstrained walking (no-feedback) and in a following condition (biofeedback) were instructed to maintain minimum toe clearance (MTC) within a target band defined using the no-feedback toe clearance characteristics [lower bound: 1.5 x baseline mean MTC, upper bound: lower bound + 3 x SD]. Both groups significantly increased toe clearance above baseline, confirming that on-line feedback of a kinematic gait parameter can be utilized by both young and older adults to change their lower limb trajectory. Poincaré analysis undertaken on MTC time-series data from successive gait cycles confirmed that the younger participants were more stable during both baseline and feedback and capable of maintaining MTC within narrow bounds without shifting from an established locomotor pattern. The results highlighted that real-time biofeedback of foot trajectory gait parameters has potential to assist in gait rehabilitation and other biomedical and healthcare applications.
机译:开发传感器技术以避免与障碍物或不均匀表面的脚接触或不均匀的表面是在进行危险步态任务的同时保持平衡的潜在强大的干预。这种干预措施在通过老化或步态病理学影响的个体中尤为重要。该研究描述了一种红外传感器系统,其提供关于支撑表面的脚趾位置的实时反馈,以使得更安全的地间隙。红外位置传感器用于监测相对于行走表面的鞋端点和脚轨迹。使用数据投影仪实时显示脚趾的垂直位移,使得受试者可以调整其脚趾间隙。十个健康的年轻和10个健康的较老体受试者进行正常的不受约束的行走(无反馈),并且在下列条件下(生物融合)被指示在使用无反馈脚趾间隙特性定义的目标频带内保持最小TOE间隙(MTC)[降低绑定:1.5 x基线平均MTC,上限:下限+ 3 x SD]。两组两组显着增加了基线上方的脚趾清除,确认了运动步态参数的在线反馈可以通过年轻和老年人使用,以改变其下肢轨迹。 poincaré来自连续步态周期的MTC时间序列数据进行分析证实,年轻的参与者在基线和反馈过程中更稳定,并且能够在狭窄的范围内维护MTC而不会从建立的机器人图案移位。结果强调,脚踏轨迹步态参数的实时生物侵入参数有可能协助步态康复和其他生物医学和医疗保健应用。

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