Center for Human Movement Sciences, University Medical Center Groningen, Groningen, The Netherlands.
Gait Posture. 2010 Feb;31(2):272-8. doi: 10.1016/j.gaitpost.2009.11.003. Epub 2009 Dec 5.
This study presents an analysis of power exertion for lifting the body's centre of mass (CoM) during rising from a chair. Five healthy young (21-44 years) and 12 healthy older (70-79 years) subjects performed sit-to-stand (STS) movements while data were measured with force-plates underneath chair and feet and motion sensors attached to different locations on the upper and lower trunk. Force-plate-data were used to determine the timing of STS movements and the vertical power for lifting the CoM from a sitting to a standing position. Data of three-dimensional hybrid motion sensors, consisting of accelerometers, gyroscopes and earth-magnetic-field sensors, were used to determine vertical accelerations and power. The comparison of sensor-based estimations of peak power with peak power calculated from force-plate-data demonstrated fair to excellent linear relationships for all sensor locations on the trunk. The best approximation of peak power was obtained by a weighted combination of data measured at different trunk locations. Results of the older subjects were consistent with those of the young subjects performing slow, normal and fast STS movements. The presented approach is relevant for monitoring fall risk and assessment of mobility in older people. Similar approaches for assessing power may be developed for other mobility related activities, such as stair walking, or sports related activities such as jumping.
本研究分析了从椅子上站起来时抬起身体质心(CoM)所需的力量。5 名健康的年轻(21-44 岁)和 12 名健康的老年人(70-79 岁)受试者进行了从坐姿到站姿(STS)的运动,同时在椅子和脚部下方的测力板以及附着在上部和下部躯干不同位置的运动传感器上测量数据。测力板数据用于确定 STS 运动的时间和从坐姿到站立位置抬起 CoM 的垂直力量。由加速度计、陀螺仪和地磁场传感器组成的三维混合运动传感器的数据用于确定垂直加速度和功率。基于传感器的峰值功率估计与从测力板数据计算出的峰值功率的比较表明,对于躯干上所有传感器位置,都存在良好到优秀的线性关系。通过对不同躯干位置测量数据的加权组合,可以获得最佳的峰值功率近似值。老年人的结果与进行慢速、正常和快速 STS 运动的年轻人的结果一致。所提出的方法与监测跌倒风险和评估老年人活动能力相关。可能会针对其他与移动性相关的活动(如爬楼梯)或与运动相关的活动(如跳跃)开发类似的用于评估功率的方法。