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A mobile motion analysis system using inertial sensors for analysis of lower limb prosthetics

机译:使用惯性传感器分析下肢假肢的移动运动分析系统

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Soldiers returning from the global war on terror requiring lower leg prosthetics generally have different concerns and requirements than the typical lower leg amputee. These subjects are usually young, wish to remain active and often desire to return to active military duty. As such, they demand higher performance from their prosthetics, but are at risk for chronic injury and joint conditions in their unaffected limb. Motion analysis is a valuable tool in assessing the performance of new and existing prosthetic technologies as well as the methods in fitting these devices to both maximize performance and minimize risk of injury for the individual soldier. We are developing a mobile, low-cost motion analysis system using inertial measurement units (IMUs) and two custom force sensors that detect ground reaction forces and moments on both the unaffected limb and prosthesis. IMUs were tested on a robot programmed to simulate human gait motion. An algorithm which uses a kinematic model of the robot and an extended Kalman filter (EKF) was used to convert the rates and accelerations from the gyro and accelerometer into joint angles. Compared to encoder data from the robot, which was considered the ground truth in this experiment, the inertial measurement system had a RMSE of <1.0 degree. Collecting kinematic and kinetic data without the restrictions and expense of a motion analysis lab could help researchers, designers and prosthetists advance prosthesis technology and customize devices for individuals. Ultimately, these improvements will result in better prosthetic performance for the military population.
机译:从全球反恐战争中返回的需要小腿假肢的士兵通常与典型的小腿截肢者有不同的关注和要求。这些对象通常是年轻的,希望保持活跃并经常希望恢复现役。因此,他们要求假肢具有更高的性能,但有患其未患肢的慢性损伤和关节疾病的风险。运动分析是评估新的和现有的修复技术的性能以及安装这些设备以最大化性能并最小化单个士兵受伤风险的方法的有价值的工具。我们正在开发一种使用惯性测量单元(IMU)和两个自定义力传感器的移动式低成本运动分析系统,该传感器可以检测未受影响的肢体和假体上的地面反作用力和力矩。 IMU在编程为模拟人的步态运动的机器人上进行了测试。使用机器人运动学模型和扩展卡尔曼滤波器(EKF)的算法将陀螺仪和加速度计的速度和加速度转换为关节角度。与来自机器人的编码器数据(在本实验中被视为基本事实)相比,惯性测量系统的RMSE <1.0度。无需运动分析实验室的限制和费用就可以收集运动学和动力学数据,这可以帮助研究人员,设计人员和修复专家提高修复技术并为个人定制设备。最终,这些改进将为军人带来更好的假肢性能。

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