Application of wearable inertial sensors in stroke rehabilitation
Application of wearable inertial sensors in stroke rehabilitation
复制标题
可穿戴惯性传感器在脑卒中康复中的应用
DOI：
10.1109/iembs.2005.1616072
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
N. Harris
中科院分区：
文献类型：
--
作者：
Huiyu Zhou;Huosheng Hu;N. Harris
我们介绍了一个人类手臂运动跟踪系统，已开发，以帮助中风患者的康复。一个可穿戴的3轴惯性传感器被用来捕捉手臂运动在3-D空间和真实的时间。跟踪算法是基于一个运动学模型，认为上，下前臂。为了提高精度和一致性，采用了加权最小二乘滤波策略。将计算的运动轨迹与使用市售Qualysis跟踪系统测量的运动轨迹进行比较。对于3D循环旋转，平均手腕位置误差为2.45 cm（未滤波）和1.79 cm（应用滤波算法后）。实验结果表明，该框架在脑卒中康复上肢运动估计中具有良好的性能
We introduce a human arm movement tracking system that has been developed to aid the rehabilitation of stroke patients. A wearable 3-axis inertial sensor is used to capture arm movements in 3-D space and in real time. The tracking algorithm is based on a kinematical model that considers the upper and lower forearm. To improve accuracy and consistency, a weighted least square filtering strategy is adopted. The calculated motion trajectory was compared with that measured using a commercially available Qualysis tracking system. For 3D cyclical rotation, the mean wrist position error was 2.45 cm without filtering and 1.79 cm after the filtering algorithm was applied. The experimental results demonstrate the favorable performance of the proposed framework in estimation of upper limb motion in stroke rehabilitation