仪器拐杖测量作用在动力外骨骼使用者上肢的内力

M. Lancini, M. Serpelloni, S. Pasinetti
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引用次数: 14

摘要

动力外骨骼已被证明是为脊髓损伤(SCI)患者提供行动能力的可靠解决方案,但用户如何学会管理这些设备仍然是一个悬而未决的问题。学习如何使用外骨骼辅助行走所需的训练目前是基于患者和他的治疗师对步态的主观评估,通过反复试验的方法,增加了达到有效步行率所需的时间和精力。为了向治疗师提供有关训练进度的信息,以及上肢参与辅助步态的信息,开发了一种测量系统,通过仪器化Lofstrand拐杖并将其与步态分析实验室中常见的传感框架集成在一起。每个拐杖由三个用于测量轴向和剪切力的应变计桥,一个带有传输模块的调理电路,一个三轴加速度计和一个带有两节电池的电源管理电路组成。数据通过蓝牙无线传输到个人电脑上,避免了对用户步态的干扰。为了估计上肢的内力,在作者开发的生物力学模型上对测量结果进行了逆动力学分析。计算作用于肩部、肘部和颈部的内力,以评估关节上的负荷,以及由于受试者肌肉活动而作用于系统自由度的扭矩。本文提出的方法应用于Rewalk©用户在不同的训练阶段和不同的行走表现。本文介绍了测量系统的描述,以及这些案例研究结果的示例,展示了如何使用该解决方案来量化重要参数,以指导用户在辅助步态过程中的训练。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Instrumented crutches to measure the internal forces acting on upper limbs in powered exoskeleton users
Powered exoskeletons have proven to be a reliable solution to provide mobility to persons with spinal cord injury (SCI), but how users can learn to manage these devices is still an open issue. The training required to learn how to use an exoskeleton for assisted walking is currently based on a subjective evaluation of gait by the patient and his therapist, with a trial and error approach that increases the time and effort required to reach an efficient walking rate. To provide therapists information on the training progress, as well as on upper limb involvement in assisted gait, a measurement system was developed, by instrumenting Lofstrand crutches and integrating them with the sensing framework commonly found in gait analysis laboratories. Each crutch is composed of three strain-gauge bridges for measuring axial and shear forces, a conditioning circuit with transmission modules, a tri-axial accelerometer, and a power management circuit with two batteries. Data are transmitted wirelessly via Bluetooth to a personal computer, avoiding any interference with the user's gait. To estimate upper limbs' internal forces, an inverse dynamics analysis of the measurement results was performed on a biomechanical model developed by the authors. Internal forces acting on shoulders, elbow and neck were computed, to assess loads on the joints, as well as torques acting on the system degrees of freedom, due to the muscular activity of the subject. The presented approach was applied to Rewalk© users at different stages of their training, and with different walking performances. The paper presents the description of the measurement system, as well as an example of the results of these case studies, showing how this solution could be used to quantify important parameters to guide the user training during assisted gait.
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