摘要
为了评判膝骨性关节炎(Knee Osteoarthritis,KOA)运动疗法的规范性,提出一种基于加速度信号的人体下肢运动状态估计方法。首先对人体直腿抬高运动进行受力分析,建立加速度模型;然后利用扩展卡尔曼滤波算法(Extended Kalman Filter,EKF)和采集到的加速度信号对模型状态进行估计;最后通过分析状态变量对规范性性能指标的影响程度,确定规范性动作值域范围,进而进行规范性判断。结果通过对采集得到的120例患者直腿抬高运动数据进行预处理与分析,实现了规范性判断。结果表明,上述方法能够客观定量地评判膝骨性关节炎的运动疗法规范性。
In this paper, we presented a novel lower limb motion state -estimation method using an acceleration signal in order to increase and ensure normalization during exercise therapy in the treatment of Knee Osteoarthritis （KOA）. Firstly, acceleration states space equations were established by the force analysis on human straight leg raise. Secondly, the states of the models were estimated through Extended Kalman Filter algorithm （EKF） and accel- eration signals were collected. Finally, the value ranges of normative action were determined via the analysis of the state variables to normative influence degree of performance indicators, and then the normative judgment was carried out. This method was tested through the acquisition of 120 patients leg raise motion data verification and implementa- tion of normative judgment. The result shows that this method can objectively and quantitatively evaluate knee joint exercise therapy normalization.
出处
《计算机仿真》
CSCD
北大核心
2014年第4期247-251,共5页
Computer Simulation
基金
福建省自然科学基金(2013J01227)
福建省科技计划重点项目(2012101010428)
