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The feasibility of shoulder motion tracking during activities of daily living using inertial measurement units

机译:使用惯性测量单元在日常生活活动中跟踪肩膀运动的可行性

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Measurements of shoulder kinematics during activities of daily living (ADL) can be used to evaluate patient function before and after treatment and help define device testing conditions. The purpose of this study was to demonstrate the feasibility of using wearable inertial measurement units (IMUs) to track shoulder joint angles while performing actual ADLs outside of laboratory simulations. IMU data of 5 subjects with normal shoulders was collected for 4h at the subjects' workplace and up to 4h off-work. An Unscented Kalman Filter (UKF) enhanced with gyroscope bias modeling and zero velocity updates demonstrated an accuracy of about 2 and was used to estimate relative upper arm angles from the IMU data. The overall averaged 95th percentile angles were: flexion 128.8 degrees, abduction 128.4 degrees, and external rotation 69.5 degrees. These peaks angles are similar to other investigator's reports using laboratory simulations of ADLs measured with optical and electromagnetic technologies. Additionally, with a Fourier transform the 50th percentile frequency was determined and used to extrapolate the typical number of arm cycles in a 10 year period to be 649,000. Application of the UKF with the additional drift correction made substantial improvements in shoulder tracking performance and this feasibility data suggests that IMUs with the UKF are suitable for extended use outside of laboratory settings. The data provides a novel description of arm motion during ADLs including an estimate for the 10 year cycle count of upper arm motion. (C) 2016 Elsevier B.V. All rights reserved.
机译:日常生活活动中的肩膀运动学测量(ADL)可用于评估治疗前后的患者功能,并帮助定义设备测试条件。这项研究的目的是证明在实验室模拟之外执行实际ADL时,使用可穿戴惯性测量单元(IMU)跟踪肩关节角度的可行性。 5位肩膀正常的受试者的IMU数据在受试者的工作场所进行了4h的采集,最多下班了4h。陀螺仪偏置建模和零速度更新增强的无味卡尔曼滤波器(UKF)的精度约为2,可用于从IMU数据估计相对上臂角度。总体平均第95个百分位角为:屈曲128.8度,外展128.4度,外旋69.5度。这些峰角类似于使用光学和电磁技术测量的ADL的实验室模拟得出的其他研究者的报告。此外,通过傅立叶变换,确定了第50个百分位数的频率,并将其用于推断10年周期内手臂循环的典型次数为649,000。 UKF与附加的漂移校正的应用大大改善了肩部跟踪性能,该可行性数据表明,带有UKF的IMU适合在实验室环境之外进行扩展使用。数据提供了ADL期间手臂运动的新颖描述,包括对上臂运动10年周期计数的估计。 (C)2016 Elsevier B.V.保留所有权利。

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