基于非侵入式虚拟传感方法的下肢关节运动学检测

doi:10.13229/j.cnki.jdxbgxb201501022

摘要/Abstract

摘要： 提出了一种基于非侵入式虚拟传感检测方式分析下肢关节运动学的方法。利用可穿戴式传感系统的检测信号，采用双物理传感器差分算法与双虚拟传感器差分算法相结合的方式，计算下肢关节处虚拟植入的传感器运动状态，在膝关节解剖学坐标系内，实现对膝关节的运动学分析。为了初步验证本方法的正确性与可用性，采用三轴加速度计和地磁力计等开发了一套可穿戴式传感系统，并通过五位受验者进行了实验验证。实验结果表明:本文方法可实现应用穿戴式传感系统进行非侵入式下肢关节运动学检测与分析，进一步改进和提高其测量精度后，可应用于步态分析。

关键词: 仪器仪表技术, 双传感器差分算法, 非侵入式虚拟传感器, 关节运动学分析

Abstract: In this paper, a novel approach for analysis of the kinematics of lower limb joint based on non-intrusive virtual sensors is presented. With the signals obtained from a wearable sensor system, the method, which combines a physical-sensor-difference-based algorithm and virtual-sensor-difference-based algorithm, is used to calculate the rotational angles of the virtual sensors supposed to be fixed on the knee joint. Then the data is used to analyze the knee joint kinematics in anatomical coordinate system. To test the approach, a wearable sensor system composed of accelerometers and magnetometers is developed and evaluated on the lower limbs of five subjects. The results show that, without intrusive sensors, the proposed approach is suitable for detecting and analyzing the parameters of the kinematics of lower limb joint with wearable sensor system. After the measuring accuracy is improved, the approach can be applied for gait analysis.

Key words: technology of instrument and meter, doublesensor difference based algorithm, nonintrusive virtual sensing, joint kinematics analysis

中图分类号:

TP212.9

刘坤，赵建琛，韩宣. 基于非侵入式虚拟传感方法的下肢关节运动学检测[J]. 吉林大学学报(工学版), 2015, 45(1): 145-152.

LIU Kun，ZHAO Jianchen，HAN Xuan. Assessment and analysis of lower limb joint kinematics based on nonintrusive virtual sensing method[J]. 吉林大学学报(工学版), 2015, 45(1): 145-152.

参考文献

[1] Turcot K, Aissaoui R, Boivin K, et al. New accelerometric method to discriminate between asymptomatic subjects and patients with medial knee osteoarthritis during 3-D gait[J]. IEEE Trans Biomed Eng, 2008, 55(4): 1415-1422.
[2] Moore T Steven, Hamish G, William Mac Dougall G. Ambulatory monitoring of freezing of gait in Parkinson's disease[J]. Neurosci Methods, 2008, 167: 340-348.
[3] Salarian A, Russmann H, Vingerhoets F J G, et al. Ambulatory monitoring of physical activities in patients with parkinsonapos's disease[J]. IEEE Trans Biomed Eng, 2007, 54(12): 2296-2299.
[4] Dejnabadi H, Jolles B M, Aminian K. A new approach to accurate measurement of uniaxial joint angles based on a combination of accelerometers and gyroscopes[J]. IEEE Trans Biomed Eng, 2005, 52(8): 1478-1484.
[5] Kavanagh Justin J, Menz Hylton B. Accelerometry: a technique for quantify movement patterns during walking[J]. Gait Posture, 2008, 28: 1-15.
[6] Williamson R, Andrews B J. Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes[J]. Medical and Biological Engineering and Computing Med Biol Eng Computer, 2001, 39(3): 294-302.
[7] Liu Kun, Liu Tao, Shibata Kyoko, et al. Novel approach to ambulatory assessment of human segmental orientation on a wearable sensor system[J]. Biomech,2009, 42(16): 2747-2752.
[8] Hagemeister N, Parent G, Van de Putte M, et al. A reproducible method for studying three-dimensional knee kinematics[J]. Biomech, 2005, 38(9): 1926-1931.
[9] Findlow A, Goulermas J, Nester C, et al. Predicting lower limb joint kinematics using wearable motion sensors[J]. Gait Posture, 2008, 28(1): 120-126.
[10] Kavanagh J, Morrison S, James D, et al. Reliability of segmental accelerations measured using a new wireless gait analysis system[J]. Biomech, 2006, 39(15): 2863-2872.
[11] Favre J, Luthi F, Jolles B M, et al. A new ambulatory system for comparative evaluation of the three-dimensional knee kinematics, applied to anterior cruciate ligament injuries[J]. Knee Surgery Sports Traumatology Arthroscopy, 2006, 14(7): 592-604.
[12] Favre J, Jolles B M, Aissaoui R, et al. Ambulatory measurement of 3D knee joint angle[J]. Biomech, 2008, 41(5): 1029-1035.
[13] O'Donovan K, Kamnik R, O'Keeffe D, et al. An inertial and magnetic sensor based technique for joint angle measurement[J]. Biomech, 2007, 40(12): 2604-2611.
[14] Takeda R, Tadano S, Todoh M, et al. Gait analysis using gravitational acceleration measured by wearable sensors[J]. Biomech, 2009, 42(3): 223-233.
[15] Dejnabadi H, Jolles B M, Aminian K. Estimation and visualization of sagittal kinematics of lower limbs orientation using body-fixed sensors[J]. IEEE Trans Biomed Eng, 2006, 53(7): 1385-1392.
[16] Willemsen T M, Frigo C, Boom H B K. Lower extremity angle measurement with accelerometers-error and sensitivity analysis[J]. IEEE Trans Biomed Eng, 1991, 38(12): 1186-1193.
[17] Grood E S, Suntay W J. A joint coordinate system for the clinical description of three-dimensional motions: application to the knee[J]. ASME J Biomech Eng, 1983, 105(5): 136-144.

相关文章 15

[1]	仇艳凯, 李宝仁, 杨钢, 曹博, 刘真. 新型液压消声器吸收液压系统压力脉动的机理和特性[J]. 吉林大学学报(工学版), 2018, 48(4): 1085-1091.
[2]	吴疆, 徐壮, 刘丽佳, 嵇艳鞠, 李肃义. 基于环绕式血氧探头的睡眠呼吸暂停综合征检测装置原型设计与开发[J]. 吉林大学学报(工学版), 2018, 48(2): 640-644.
[3]	杨诚, 宋萍, 彭文家, 金昊龙, 潘志强. 基于混合总线的装甲车辆实车综合测试系统设计[J]. 吉林大学学报(工学版), 2018, 48(1): 186-198.
[4]	杨诚, 宋萍, 彭文家, 邓高寿, 刘雄军. 装甲车辆综合测试系统上位机平台设计[J]. 吉林大学学报(工学版), 2017, 47(6): 1796-1803.
[5]	柏德恩, 全齐全, 李贺, 陈雅文, 邓宗全. 伺服加载的谐波减速器启动力矩测试系统[J]. 吉林大学学报(工学版), 2017, 47(6): 1804-1810.
[6]	王天皓, 王忠福, 王雨蒙, 杨开宇, 高印寒, 马喜来. 基于混沌多项式展开法的线束串扰统计模型[J]. 吉林大学学报(工学版), 2017, 47(5): 1568-1576.
[7]	陈赫, 杨智君, 吴昭春, 冯志刚, 赵科佳, 李抵非, 田地. 标准失真模拟分量视频信号源及其校准方法[J]. 吉林大学学报(工学版), 2017, 47(4): 1159-1164.
[8]	刘晓为, 李海, 翁睿, 张海峰, 赵军. 应用静电力矩改善新型转子式陀螺的动态特性[J]. 吉林大学学报(工学版), 2017, 47(3): 850-854.
[9]	林君, 赵越, 蒋川东, 王应吉. 基于优化Block反演的地面磁共振测深新方法[J]. 吉林大学学报(工学版), 2017, 47(2): 530-539.
[10]	张飞, 单忠德, 任永新, 聂军刚, 刘丰. 缸盖缺陷检测系统线阵相机现场标定方法[J]. 吉林大学学报(工学版), 2017, 47(2): 540-545.
[11]	訚耀保, 原佳阳, 傅俊勇. 先导阀前腔串加阻尼孔的新型双级溢流阀特性[J]. 吉林大学学报(工学版), 2017, 47(1): 129-136.
[12]	林君, 杨宇, 胡雪岩, 王世隆. 基于感性负载的瞬变电磁发射波形控制技术[J]. 吉林大学学报(工学版), 2016, 46(5): 1718-1724.
[13]	于生宝, 苏发, 郑建波, 朱占山. 基于LabVIEW的瞬变电磁接收系统设计[J]. 吉林大学学报(工学版), 2016, 46(5): 1725-1731.
[14]	申茂冬, 程德福, 安战峰, 王一, 赵静. 五棱台式全张量磁梯度探头侧面倾角优化方法[J]. 吉林大学学报(工学版), 2016, 46(5): 1732-1738.
[15]	闫光, 庄炜, 刘锋, 祝连庆. 具有增敏效果的光纤光栅应变传感器的预紧封装及传感特性[J]. 吉林大学学报(工学版), 2016, 46(5): 1739-1745.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed