基于深度相机的膝关节骨关节炎步态分析研究  

Gait analysis of knee osteoarthritis based on depth camera

作　　者：陈芳[1] 赵喆[2] 崔曦雯 谢彦庭 张里程[4] 廖洪恩[3] 唐佩福[4] Chen Fang;Zhao Zhe;Cui Xiwen;Xie Yanting;Zhang Licheng;Liao Hongen;Tang Peifu(College of Computer Science and Technology of Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Department of Orthopaedics,Beijing Tsinghua Changgung Hospital,Tsinghua University,Beijing 102218,China;Department of Biomedical Engineering,School of Medicine,Tsinghua University,Beijing 100084,China;Department of Orthopaedics,Chinese PLA General Hospital,Beijing 100853,China)

机构地区：[1]南京航空航天大学计算机学院,211106 [2]清华大学附属北京清华长庚医院骨科,102218 [3]清华大学医学院生物医学工程系,北京100084 [4]解放军总医院骨科,北京100853

出　　处：《中华骨科杂志》2021年第22期1631-1639,共9页Chinese Journal of Orthopaedics

基　　金：国家自然科学基金(61901214,U20A20389);中国博士后科学基金(2021T140322,2020M671484);江苏省博士后基金(2020Z024);国家重点研发课题(2018YFC2001602)。

摘　　要：目的研发一套步态采集与分析系统,并验证其应用于膝关节骨关节炎患者的步态定量记录与分析的可行性及效果。方法收集2017年4月至2018年10月于门诊19例膝关节骨关节炎(knee osteoarthritis,KOA)患者和19例健康志愿者的步态数据,利用基于深度相机的步态数据记录软件其步态数据。19例膝关节骨关节炎患者中,男9例,女10例,年龄(50.1±9.4)岁;19位健康志愿者中,男8例,女11例,年龄(50.7±10.3)岁。从采集的步态数据中,自动计算静态步态特征如步速、步长、步幅等,以及动态步态特征,并进行统计学差异分析,判断这些定量步态特征与膝关节骨关节炎的相关程度。结果将深度相机采集的步态数据与Motion Analysis多红外相机系统所采集的数据比较,采集的膝关节夹角的平均角度误差为0.98°,证明了深度相机所记录的步态数据的正确性。KOA组和健康组步态特征的统计学差异分析表明,P<0.05的步态特征包括步速(r=-0.922,P<0.001),步长(r=-0.897,P=0.004),步幅(r=-0.914,P<0.001),左右膝关节夹角动态特征(r=0.775,P=0.001)。结论基于深度相机的步态采集与分析系统,可准确记录和存储膝关节骨关节炎患者的步态数据,所提取的步态定量特征对于膝关节骨关节炎患者和健康组有统计学差异,能为骨关节步态分析提供帮助。Objective In this study,a gait acquisition and analysis system is developed to provide a cheap,easy-to-use solution for quantitative recording and analysis of patients'gaits.Methods From April 2017 to October 2018,we collected the gait data of 19 patients with knee osteoarthritis and 19 healthy volunteers in the orthopaedic outpatient department.Among 19 patients,there were 9 males and 10 females,aged 50.1±9.4 years old.Among 19 healthy volunteers,there were 8 males and 11 females,aged 50.7±10.3 years old.Then,from the collected gait data,the static gait features such as gait speed,step length,stride,and dynamic gait features were automatically calculated,and the statistical difference analysis was finished to determine the correlation between these quantitative gait features and knee osteoarthritis.Results Firstly,the gait data collected by the depth camera was compared with the data from the multi infrared camera-based motion analysis system(gold standard).The average angle error of the collected knee joint angle was 0.98 degrees,which proved the correctness of the gait data recorded by the depth camera.The statistical difference analysis of gait characteristics between the patient group and the healthy group showed that the gait characteristics with P<0.05 included:gait speed(r=-0.922,P<0.001),step length(r=-0.897,P=0.004),stride(r=-0.914,P<0.001),dynamic characteristics of angle of knee joint(r=0.775,P=0.001).Conclusion The gait acquisition and analysis system based on the depth camera can accurately record and store the gait data of the patients with knee osteoarthritis.Moreover,the extracted quantitative gait features have statistical differences between the patients and the healthy group,which is helpful for the gait analysis of bone joint.

关 键 词：膝关节骨关节炎 步态分析 深度相机 静态特征 动态特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] R684.3[自动化与计算机技术—计算机科学与技术]