步态参数估计精度的评价:商用IMU与光学捕捉运动系统的比较

Luisa Ruiz-Ruiz, Fernando Seco Granja, A. R. Jiménez, Sara Garcia, J. J. García
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引用次数: 3

摘要

在老年人中,有几种病理可以从步态参数中识别出来,如虚弱、跌倒风险和认知能力下降。步态分析是一种检测和诊断步态相关疾病的成功方法,是惯性测量单元(imu)中应用最广泛的一种(成本低、精度高、便携性好)。在这项工作中,我们分析了使用商用IMU(来自GaitUp的Physilog 6S)与Optitrack系统作为金标准的步态参数估计的准确性。基于惯性导航零速度姿态更新算法(INS- ZUPT),我们对使用制造商软件(GaitUp Lab)和我们自己的算法获得的步态参数进行了深入的比较。2名健康受试者以不同的步行方式(正常、高步、拖脚和落脚)进行多项测试。
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Evaluation of gait parameter estimation accuracy: a comparison between commercial IMU and optical capture motion system
In the elderly, there are several pathologies that can be identified from gait parameters such as frailty, fall risk and cognitive decline. Gait analysis is a successful method for the detection and diagnosis of gait-related diseases, being Inertial Measurement Units (IMUs) one of the most widely used (low cost, accuracy and portability). In this work, we analyse the accuracy of gait parameters estimation using a commercial IMU (Physilog 6S from GaitUp) versus the Optitrack System as gold standard. We carry out an in-depth comparison of the gait parameters obtained using the manufacturer software (GaitUp Lab) and our own algorithms based on an inertial navigation with zero velocity update at stance algorithm (INS- ZUPT). Several tests were performed by 2 healthy subjects walking in different ways (normal, high step, dragging the feet and feet drop).
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