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新型可穿戴传感器系统用于人体节段定向的动态评估。

Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system.

机构信息

Department of Intelligent Mechanical Systems Engineering, Kochi University of Technology, 185 Miyanokuchi, Tosayamada-cho, Kochi 782-8502, Japan.

出版信息

J Biomech. 2009 Dec 11;42(16):2747-52. doi: 10.1016/j.jbiomech.2009.08.008. Epub 2009 Sep 12.

Abstract

A new method using a double-sensor difference based algorithm for analyzing human segment rotational angles in two directions for segmental orientation analysis in the three-dimensional (3D) space was presented. A wearable sensor system based only on triaxial accelerometers was developed to obtain the pitch and yaw angles of thigh segment with an accelerometer approximating translational acceleration of the hip joint and two accelerometers measuring the actual accelerations on the thigh. To evaluate the method, the system was first tested on a 2 degrees of freedom mechanical arm assembled out of rigid segments and encoders. Then, to estimate the human segmental orientation, the wearable sensor system was tested on the thighs of eight volunteer subjects, who walked in a straight forward line in the work space of an optical motion analysis system at three self-selected speeds: slow, normal and fast. In the experiment, the subject was assumed to walk in a straight forward way with very little trunk sway, skin artifacts and no significant internal/external rotation of the leg. The root mean square (RMS) errors of the thigh segment orientation measurement were between 2.4 degrees and 4.9 degrees during normal gait that had a 45 degrees flexion/extension range of motion. Measurement error was observed to increase with increasing walking speed probably because of the result of increased trunk sway, axial rotation and skin artifacts. The results show that, without integration and switching between different sensors, using only one kind of sensor, the wearable sensor system is suitable for ambulatory analysis of normal gait orientation of thigh and shank in two directions of the segment-fixed local coordinate system in 3D space. It can then be applied to assess spatio-temporal gait parameters and monitoring the gait function of patients in clinical settings.

摘要

提出了一种新的方法,使用基于双传感器差值的算法来分析人体节段在两个方向上的旋转角度,用于三维(3D)空间中的节段定向分析。开发了一种仅基于三轴加速度计的可穿戴传感器系统,以获得大腿节段的俯仰角和偏航角,其中一个加速度计近似模拟髋关节的平移加速度,两个加速度计测量大腿上的实际加速度。为了评估该方法,首先将该系统在由刚性节段和编码器组成的 2 自由度机械臂上进行了测试。然后,为了估计人体节段的方向,将可穿戴传感器系统在 8 名志愿者的大腿上进行了测试,志愿者在光学运动分析系统的工作空间中以 3 种自选速度(慢、正常和快)直线行走。在实验中,假设受试者以非常小的躯干摆动、皮肤伪影和腿部无明显内外旋转的方式直线行走。在正常步态下,大腿节段定向测量的均方根(RMS)误差在 2.4 度至 4.9 度之间,运动范围为 45 度屈伸。随着行走速度的增加,测量误差增加,这可能是由于躯干摆动、轴向旋转和皮肤伪影增加的结果。结果表明,在不进行不同传感器的集成和切换的情况下,仅使用一种传感器,可穿戴传感器系统适用于在 3D 空间中节段固定局部坐标系的两个方向上对大腿和小腿的正常步态方向进行动态分析。然后,它可以用于评估时空步态参数,并在临床环境中监测患者的步态功能。

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