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关键点矩阵技术用于手指关节运动角度无接触式智能测量的可行性研究 被引量:2

Accuracy of key point matrix technology based contactless automatic measurement for joint motion of hand
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摘要 目的探讨关键点矩阵技术用于手指关节运动角度无接触式智能测量中的可行性。方法将2021年5月—11月符合选择标准的33名志愿者纳入研究。其中男20名,女13名;年龄16~70岁,平均30.2岁。利用关键点矩阵技术和手工角度尺分别测量志愿者五指14个关节伸直(含过伸)角度和四指(不含拇指)12个关节屈曲角度。随机选择5名志愿者行小样本组间重复测量对比观察,评价测量方法的重复性及准确性;随机选择28名志愿者行大样本配对准确性比较观察,评价测量方法的准确性。结果关键点矩阵技术测量手指关节运动角度的平均重复性分别为1.801°(伸直)和7.823°(屈曲)。与手工测量相比,手指各关节伸直角度平均差值为3.225°,屈曲角度平均差值为14.145°。两种方法测量结果整体一致性较强(ICC=0.875),单个关节的测量结果一致性大部分处于中等强度水平(ICC中位数为0.440)。两种方法测量结果在关节伸直时主要表现为正相关(P<0.05),在关节屈曲时主要表现为负相关(P<0.05)。结论基于关键点矩阵技术的手指关节运动角度测量重复性和准确性好,各关节伸直角度和各掌指关节屈曲角度的准确性符合临床要求。 Objective To validate the use of key point matrix technology based contactless automatic measurement for evaluation of joint motion of hand.Methods Thirty-three volunteers were enrolled to evaluate the extension and flexion of hand joints between May 2021 and November 2021.There were 20 males and 13 females,the age ranged from 16 to 70 years with an average of 30.2 years.The extension angles of 14 joints of 5 fingers(including hyperextension)and the flexion angles of 12 joints of 4 fingers(excluding thumb)of volunteers were measured by key point matrix technology and manual goniometer,respectively.Then 5 participants and repeated measurement experiment were employed to test the system repeatability and accuracy;28 participants and paired measurement experiment were employed to test the system accuracy.Results The average repeatability of finger joint motion measured by the key point matrix technology was 1.801°(extension)and 7.823°(flexion),respectively.Compared with manual measurement,the average differences of each finger joint measured by the key point matrix technology were 3.225°in extension and14.145°in flexion,respectively.The key point matrix technology based contactless automatic evaluation system offered excellent consistency with the manual goniometers(ICC=0.875).While most of the consistency with manual goniometer of individual joints were at moderate levels(median of ICC,0.440).The correlation coefficients between the measurement results of the two methods were mainly positive in the extension of the joint(P<0.05)and negative in the flexion of the joints(P<0.05).Conclusion The key point matrix technology based contactless automatic evaluation provides sufficient measurement repeatability and accuracy in evaluation for the joint motion of hand.
作者 吕璐璐 杨建涛 顾凡彬 范景元 王朝阳 朱庆棠 刘小林 Lü Lulu;YANG Jiantao;GU Fanbin;FAN Jingyuan;WANG Chaoyang;ZHU Qingtang;LIU Xiaolin(Department of Microsurgery,Orthopedic Trauma and Hand Surgery,the First Affiliated Hospital,Sun Yat-sen University,Guangzhou Guangdong,510080,P.R.China;Guangdong Provincial Center for Peripheral Nerve Tissue Engineering and Technology Research,Guangzhou Guangdong,510080,P.R.China;Guangdong Province Engineering Laboratory for Soft Tissue Biofabrication,Guangzhou Guangdong,510080,P.R.China)
出处 《中国修复重建外科杂志》 CAS CSCD 北大核心 2022年第5期540-547,共8页 Chinese Journal of Reparative and Reconstructive Surgery
关键词 手指 关节运动角度 无接触式智能测量 关键点矩阵技术 Finger joint motion contactless automatic evaluation key point matrix technology
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