Picerno Pietro
School of Sport and Exercise Sciences, Faculty of Psychology, "eCampus" University, Via Isimbardi 10 22060 Novedrate CO, Italy.
Gait Posture. 2017 Jan;51:239-246. doi: 10.1016/j.gaitpost.2016.11.008. Epub 2016 Nov 5.
Joint kinematics is typically limited to the laboratory environment, and the restricted volume of capture may vitiate the execution of the motor tasks under analysis. Conversely, clinicians often require the analysis of motor acts in non-standard environments and for long periods of time, such as in ambulatory settings or during daily life activities. The miniaturisation of motion sensors and electronic components, generally associated with wireless communications technology, has opened up a new perspective: movement analysis can be carried out outside the laboratory and at a relatively lower cost. Wearable inertial measurement units (embedding 3D accelerometers and gyroscopes), eventually associated with magnetometers, allow one to estimate segment orientation and joint angular kinematics by exploiting the laws governing the motion of a rotating rigid body. The first study which formalised the problem of the estimate of joint kinematics using inertial sensors dates back to 1990. Since then, a variety of methods have been presented over the past 25 years for the estimate of 2D and 3D joint kinematics by using inertial and magnetic sensors. The aim of the present review is to describe these approaches from a purely methodological point of view to provide the reader with a comprehensive understanding of all the instrumental, computational and methodological issues related to the estimate of joint kinematics when using such sensor technology.
关节运动学通常局限于实验室环境,且有限的采集空间可能会影响正在分析的运动任务的执行。相反,临床医生常常需要在非标准环境下长时间分析运动行为,比如在动态环境中或日常生活活动期间。运动传感器和电子元件的小型化,通常与无线通信技术相关联,开启了一个新的视角:运动分析可以在实验室外以相对较低的成本进行。可穿戴惯性测量单元(内置三维加速度计和陀螺仪),最终与磁力计相结合,能够通过运用旋转刚体运动的相关定律来估计节段方向和关节角运动学。最早将利用惯性传感器估计关节运动学问题形式化的研究可追溯到1990年。从那时起,在过去25年里出现了多种利用惯性和磁传感器估计二维和三维关节运动学的方法。本综述的目的是从纯粹的方法学角度描述这些方法,以便让读者全面了解使用此类传感器技术估计关节运动学时所有与仪器、计算和方法相关的问题。
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