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使用惯性测量单元测量肩部活动范围 - 与机械臂的验证。

Shoulder Range of Motion Measurement Using Inertial Measurement Unit-Validation with a Robot Arm.

机构信息

Rehasport Clinic, Gorecka 30, 60-201 Poznan, Poland.

The Faculty of Mechanical Engineering, Institute of Applied Mechanics, Poznan University of Technology, 60-965 Poznan, Poland.

出版信息

Sensors (Basel). 2023 Jun 6;23(12):5364. doi: 10.3390/s23125364.

DOI:10.3390/s23125364
PMID:37420531
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10304346/
Abstract

The invention of inertial measurement units allowed the construction of sensors suitable for human motion tracking that are more affordable than expensive optical motion capture systems, but there are a few factors influencing their accuracy, such as the calibration methods and the fusion algorithms used to translate sensor readings into angles. The main purpose of this study was to test the accuracy of a single RSQ Motion sensor in comparison to a highly precise industrial robot. The secondary objectives were to test how the type of sensor calibration affects its accuracy and whether the time and magnitude of the tested angle have an impact on the sensor's accuracy. We performed sensor tests for nine repetitions of nine static angles made by the robot arm in eleven series. The chosen robot movements mimicked shoulder movements in a range of motion test (flexion, abduction, and rotation). The RSQ Motion sensor appeared to be very accurate, with a root-mean-square error below 0.15°. Furthermore, we found a moderate-to-strong correlation between the sensor error and the magnitude of the measured angle but only for the sensor calibrated with the gyroscope and accelerometer readings. Although the high accuracy of the RSQ Motion sensors was demonstrated in this paper, they require further study on human subjects and comparisons to the other devices known as the gold standards in orthopedics.

摘要

惯性测量单元的发明使得能够构建适合人类运动跟踪的传感器,其价格比昂贵的光学运动捕捉系统更为实惠,但有几个因素会影响它们的准确性,例如校准方法和用于将传感器读数转换为角度的融合算法。本研究的主要目的是测试单个 RSQ Motion 传感器的准确性,并将其与高精度工业机器人进行比较。次要目的是测试传感器校准的类型如何影响其准确性,以及测试角度的时间和幅度是否对传感器的准确性有影响。我们对机器人臂在 11 个系列中的 9 个静态角度进行了 9 次重复的传感器测试。所选的机器人运动模拟了运动范围测试中的肩部运动(屈曲、外展和旋转)。RSQ Motion 传感器的准确性非常高,均方根误差低于 0.15°。此外,我们发现传感器误差与测量角度的幅度之间存在中度至强相关性,但仅适用于使用陀螺仪和加速度计读数进行校准的传感器。尽管本文证明了 RSQ Motion 传感器具有高精度,但它们需要在人体研究中进一步研究,并与其他被称为矫形学黄金标准的设备进行比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/4f05d045f1eb/sensors-23-05364-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/027d859c8011/sensors-23-05364-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/c689766dec8b/sensors-23-05364-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/905ded75ea52/sensors-23-05364-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/4f05d045f1eb/sensors-23-05364-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/027d859c8011/sensors-23-05364-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/c689766dec8b/sensors-23-05364-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/905ded75ea52/sensors-23-05364-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4769/10304346/4f05d045f1eb/sensors-23-05364-g004.jpg

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