Department of Mechanical Engineering (EPSEVG), Universitat Politécnica de Catalunya, Av. de Víctor Balaguer 1, Vilanova i la Geltrú, 08800, Barcelona, Spain.
Centro de Trastornos del Movimiento (CETRAM), Facultad de Ciencias Médicas, Universidad de Santiago de Chile, Belisario Prats, 1597 B, Independencia, Santiago, Chile.
Med Biol Eng Comput. 2018 May;56(5):879-888. doi: 10.1007/s11517-017-1728-5. Epub 2017 Oct 23.
The aim of this study is to analyze a common method to measure the acceleration of a daily activity pattern by using a smartphone. In this sense, a numerical approach is proposed to transform the relative acceleration signal, recorded by a triaxial accelerometer, into an acceleration referred to an inertial reference. The integration of this acceleration allows to determine the velocity and position with respect to an inertial reference. Two different kinematic parameters are suggested to characterize the profile of the velocity during the sit-to-stand and stand-to-sit transitions for Parkinson and control subjects. The results show that a dimensionless kinematic parameter, which is linked to the time of sit-to-stand and stand-to-sit transitions, has the potential to differentiate between Parkinson and control subjects.
本研究旨在分析一种利用智能手机测量日常活动模式加速度的常用方法。为此,提出了一种数值方法,用于将三轴加速度计记录的相对加速度信号转换为相对于惯性参考系的加速度。对该加速度进行积分,可确定相对于惯性参考系的速度和位置。为了描述帕金森病患者和对照组在从坐到站和站到站转换过程中的速度曲线,提出了两个不同的运动学参数。结果表明,与从坐到站和站到站转换时间相关的无量纲运动学参数具有区分帕金森病患者和对照组的潜力。