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Validity of inertial measurement units in assessing segment angles and mechanical energies of elderly persons during sit-to-stand motion

机译:惯性测量单元在评估老年人从坐到站运动中的节段角和机械能时的有效性

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The aim of this study was to compare segment angles and mechanical energies obtained via inertial measurement unit (IMU) sensors attached to body segments and an optoelectronic motion capture (OMC) system during sit-to-stand motion, relevant for the assessment of movement disorder in elderly persons. seven elderly subjects were included in this study. Each subject performed sit-to-stand motions under the following two conditions: (1) rising with natural speed and posture (NORMAL) and (2) rising with trunk inclined forward (TILT). We calculated not only the segment angle but also the mechanical energy of each segment. Temporal profiles of the angles and mechanical energies of each segment were compared between the OMC data and the IMU data based on the Pearson's correlation coefficient (r) and root mean squared error (RMSE). The estimation error of the peak values of the data was also investigated with Bland-Altman bias and 95% limits of agreement. It was found that the value of r was >0.90 and the RMSE was <5° for all segments except thorax under the NORMAL condition. The Bland-Altman analysis produced an estimation error in 95% of measurements within two standard deviations. This study demonstrates that IMU based motion analysis for elderly could provide accurate kinematic and kinetic assessment of body segments compared to OMC system. However, the validity of the measurement of the thoracic angle by the IMU sensor was lower than other segments while temporal pattern of the thoracic angle during the motion was similarly detected by IMU and OMC system. Therefore, caution should be needed when interpreting research data of angular measurements of elderly and diseased persons obtained using IMU sensors especially thorax.
机译:这项研究的目的是比较坐姿到站立运动期间通过附着在人体节段上的惯性测量单元(IMU)传感器和光电运动捕获(OMC)系统获得的节段角和机械能,这些运动与运动障碍的评估有关在老年人中。这项研究包括了七名老年受试者。每个受试者在以下两个条件下执行从坐到站的运动:(1)以自然的速度和姿势上升(NORMAL),以及(2)以躯干向前倾斜(TILT)上升。我们不仅计算了节段角,还计算了每个节段的机械能。根据皮尔逊相关系数(r)和均方根误差(RMSE),比较了OMC数据和IMU数据在各段的角度和机械能的时间分布。还使用Bland-Altman偏差和95%的一致性极限来研究数据峰值的估计误差。发现在正常条件下,除胸部外,所有节段的r值均> 0.90,RMSE <5°。 Bland-Altman分析在两个标准偏差内的95%的测量结果中产生了估计误差。这项研究表明,与OMC系统相比,基于IMU的老年人运动分析可以提供准确的运动学和动力学评估。然而,IMU传感器测量胸廓角的有效性低于其他部分,而IMU和OMC系统同样检测到运动过程中胸廓角的时间模式。因此,在解释使用IMU传感器(尤其是胸部)获得的老年人和患病者的角度测量的研究数据时,应谨慎行事。

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