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作 者:管爱华 沈纪龙 王子琰 张琪[1] 杨涛[1,2] 郎许锋 谢佳东 胡孔法 GUAN Aihua;SHEN Jilong;WANG Ziyan;ZHANG Qi;YANG Tao;LANG Xufeng;XIE Jiadong;HU Kongfa(School of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210023,China;Jiangsu Province Engineering Research Center of TCM Intelligence Health Service,Nanjing 210023,China;Jiangsu Collaborative Innovation Center of Traditional Chinese Medicine in Prevention and Treatment of Tumor,Nanjing 210023,China)
机构地区:[1]南京中医药大学人工智能与信息技术学院,江苏南京210023 [2]江苏省智慧中医药健康服务工程研究中心,江苏南京210023 [3]江苏省中医药防治肿瘤协同创新中心,江苏南京210023
出 处:《南京中医药大学学报》2024年第12期1331-1339,共9页Journal of Nanjing University of Traditional Chinese Medicine
基 金:国家重点研发计划重点专项(2022YFC3502302);江苏省研究生科研创新计划项目(KYCX24_2157)。
摘 要:目的分析心脑血管疾病患者与正常人步态特征差异,探索中医全身望诊新的客观化特征。方法使用单目相机采集受试者正面行走视频,以中医师的诊断结果为疾病标注数据;利用深度学习模型估计关键点三维坐标;定义并基于下肢关键点三维坐标计算步态特征;统计并验证心脑血管疾病人群的步态特征差异。结果自动提取下肢关键点三维坐标并计算了步宽、步长、抬脚高度、双肢夹角、左右髋关节角度和左右膝关节角度8类中医望诊步态特征,对比发现心脑血管疾病人群与健康人群特征存在显著性差异(P<0.05)。结论所提取的中医望诊步态能够有效区分心脑血管疾病患者与健康人群,拓展了中医全身望诊的研究范畴,为心脑血管疾病的早期检测和预防提供了新的思路。OBJECTIVE To analyze the differences in gait features between patients with cardiovascular and cerebrovascular diseases and normal people,and to explore new objective features of traditional Chinese medicine(TCM)whole-body inspection.METHODS A monocular camera was used to collect frontal walking videos of subjects,and the diagnosis results of TCM practitioners were used as disease annotation data;a deep learning model was used to estimate the three-dimensional coordinates of key points;the gait features were defined and calculated based on the three-dimensional coordinates of key points of the lower limbs;differences in gait features among people with cardiovascular and cerebrovascular diseases were collected and verified.RESULTS The three-dimensional coordinates of key points of the lower limbs were automatically extracted and 8 types of TCM gait features were calculated:step width,stride length,foot lift height,limb angle,left and right hip joint angles,and left and right knee joint angles.It was found that there were significant differences in the features between people with cardiovascular and cerebrovascular diseases and healthy people(P<0.05).CONCLUSION The TCM inspection gait extracted by this study can effectively distinguish patients with cardiovascular and cerebrovascular diseases from healthy people,expands the research scope of TCM whole-body inspection,and provides new ideas for the early detection and prevention of cardiovascular and cerebrovascular diseases.
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