[1]孔凡梅,刘 璞,赖昌生.傅里叶描述子在AIDS患者智能化舌诊中的应用[J].医学信息,2023,36(04):38-43.[doi:10.3969/j.issn.1006-1959.2023.04.007]
 KONG Fan-mei,LIU Pu,LAI Chang-sheng.Application of Fourier Descriptors in Intelligent Tongue Diagnosis for AIDS Patients[J].Journal of Medical Information,2023,36(04):38-43.[doi:10.3969/j.issn.1006-1959.2023.04.007]
点击复制

傅里叶描述子在AIDS患者智能化舌诊中的应用()
分享到:

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
36卷
期数:
2023年04期
页码:
38-43
栏目:
中医药信息学
出版日期:
2023-02-15

文章信息/Info

Title:
Application of Fourier Descriptors in Intelligent Tongue Diagnosis for AIDS Patients
文章编号:
1006-1959(2023)04-0038-06
作者:
孔凡梅刘 璞赖昌生
(1.右江民族医学院康复医学与理疗专业,广西 百色 533000;2.玉林市红十字会医院科教科,广西 玉林 537099)
Author(s):
KONG Fan-meiLIU PuLAI Chang-sheng
(1.Rehabilitation Medicine and Physiotherapy,Youjiang Medical University for Nationalities,Baise 533000,Guangxi,China;2.Department of Science and Education,Red Cross Hospital of Yulin City,Yulin 537099,Guangxi,China)
关键词:
傅里叶描述子人工智能舌诊舌体轮廓虚实证型
Keywords:
Fourier descriptorArtificial intelligenceTongue diagnosisTongue contourDeficiency syndrome type
分类号:
R275.9
DOI:
10.3969/j.issn.1006-1959.2023.04.007
文献标志码:
A
摘要:
目的 利用傅里叶描述子刻画艾滋病(AIDS)患者舌象的几何特征,并把描述子的13个参数与患者的中医证型“虚实”联系,探索舌诊图像几何特征与证型之间的相关性。方法 选取2020年2月-2022年1月玉林市红十字会医院艾滋病门诊就诊的48例AIDS患者的舌象资料,利用Matlab程序,从AIDS患者的舌苔图片中用交互方式取得其舌体轮廓,进一步取得傅里叶描述子的13个参数,并与患者的虚实证型关联,进行Logistic回归分析,利用傅里叶描述子参数建立中医虚实两证的预测方程。结果 通过傅里叶描述子可提取AIDS患者完整的舌形轮廓;非参数检验显示,傅里叶描述子参数F1~F13与虚实证型均具有相关性;以虚实证型为因变量,F1~F13为自变量构建的Logistic回归方程识别舌象的正确率为76.60%。结论 傅里叶描述子不但可以描述舌体的轮廓,而且还与中医辨证分型密切相关,具有较好的研究前景。
Abstract:
Objective To describe the geometric features of tongue images of AIDS patients by Fourier descriptors, and to explore the correlation between the geometric features of tongue images and TCM syndromes by connecting the 13 parameters of the descriptors with the TCM syndromes of AIDS patients.Methods The tongue image data of 48 AIDS patients who were treated in the AIDS clinic of Red Cross Hospital of Yulin City from February 2020 to January 2022 were selected. Using the Matlab program, the tongue contour was obtained interactively from the tongue coating pictures of AIDS patients. The 13 parameters of the Fourier descriptor were further obtained and associated with the patient ’s deficiency and excess syndromes. Logistic regression analysis was performed, and the prediction equation of deficiency and excess syndromes of traditional Chinese medicine was established by using the Fourier descriptor parameters.Results The complete tongue contour of AIDS patients can be extracted by Fourier descriptor. Non-parametric test showed that Fourier descriptor parameters F1-F13 were correlated with deficiency and excess syndrome types. The Logistic regression equation was constructed with the deficiency and excess syndrome type as the dependent variable and F1-F13 as the independent variable, the correct rate of tongue image recognition was 76.60%.Conclusion Fourier descriptor can not only describe the contour of the tongue, but also is closely related to TCM syndrome differentiation, which has a good research prospect.

参考文献/References:

[1]石强.不同中医师对舌象观察结果一致性的研究[J].江苏中医药,1993,39(8):60-61.[2]王忆勤,许朝霞.中医舌诊研究与临床应用[M].上海:上海科学出版社,2020.[3]吴绍根,聂为清,路利军,等.典型的基于区域的形状表示方法比较[J].中国图象图形学报,2018,23(8):1242-1253.[4]李东,万贤福,汪军.采用傅里叶描述子和支持向量机的服装款式识别方法[J].纺织学报,2017,38(5):122-127.[5]王福斌,潘兴辰,王尚政,等.飞秒激光光斑轮廓的傅里叶描述子重建及特征提取[J].激光与红外,2019,49(9):1147-1152.[6]高小康.基于Grab Cut算法和傅里叶描述子的人物背面步态识别[J].现代计算机,2016(32):49-51,66.[7]郇战,万彩艳,梁久祯,等.基于步态轨迹曲线特征的人体身份识别[J].郑州大学学报(理学版),2018,50(3):67-72.[8]刘电霆,梁桂宾.基于傅里叶描述子的手势轨迹模板匹配方法[J].电子机械工程,2020,36(1):1-5.[9]高泽,孙华东,范智鹏,等.基于傅里叶描述子的图像检索技术研究[J].哈尔滨商业大学学报(自然科学版),2019,35(1):77-80.[10]陈斌,饶洪辉,刘木华.基于傅里叶描述子和Hu不变矩的油茶果识别[J].浙江农业科学,2020,61(9):1876-1880.[11]王鹏,吴杰.基于傅里叶描述子和共振频率的不规则果形梨果硬度评估指标构建[J].农业工程学报,2021,37(11):299-306.[12]谢泽奇,张会敏,张善文.基于傅里叶描述子和加权稀疏表示的军事图像分类方法[J].计算机应用与软件,2019,36(3):68-71,75.[13]付强,姚建刚,李唐兵,等.基于红外图像的绝缘子串钢帽和盘面区域自动提取方法[J].红外技术,2016,38(11):969-974,979.[14]张玉明,高杰,张海燕.基于矩-傅里叶描述子的不同姿态三维人脸识别[J].安徽科技学院学报,2016,30(3):55-59.[15]邸馨瑶,焦林,宋怀波.基于优选傅里叶描述子的粘连条锈病孢子图像分割方法研究[J].计算机应用与软件,2018,35(3):193-198.[16]曾凌峰.基于树莓派的人体跌倒监测系统的研究与实现[D].广州:华南理工大学,2019.[17]唐旭.基于机器视觉的双臂机器人智能分拣系统关键技术研究[D].哈尔滨:哈尔滨工业大学,2017.

相似文献/References:

[1]张 虎,张 涛,徐 芳,等.MRI在乳腺癌诊治中的研究进展[J].医学信息,2022,35(10):62.[doi:10.3969/j.issn.1006-1959.2022.10.015]
 ZHANG Hu,ZHANG Tao,XU Fang,et al.Research Progress of MRI in Diagnosis and Treatment of Breast Cancer[J].Journal of Medical Information,2022,35(04):62.[doi:10.3969/j.issn.1006-1959.2022.10.015]
[2]丁志虎,胡光阔,毕学霞.基于微信人工智能的医患关系平台研究[J].医学信息,2019,32(03):4.[doi:10.3969/j.issn.1006-1959.2019.03.002]
 DING Zhi-hu,HU Guang-kuo,BI Xue-xia.Research on Doctor-patient Relationship Platform Based on WeChat Artificial Intelligence[J].Journal of Medical Information,2019,32(04):4.[doi:10.3969/j.issn.1006-1959.2019.03.002]
[3]徐 冬.门诊导医机器人的应用及探索[J].医学信息,2019,32(01):28.[doi:10.3969/j.issn.1006-1959.2019.01.010]
 XU Dong.Application and Exploration of Outpatient Medical Robot[J].Journal of Medical Information,2019,32(04):28.[doi:10.3969/j.issn.1006-1959.2019.01.010]
[4]张千彧.基于技术成熟的可穿戴设备发展分析[J].医学信息,2019,32(06):16.[doi:10.3969/j.issn.1006-1959.2019.06.006]
 ZHANG Qian-yu.Analysis of the Development of Wearable Devices Based on Technology Maturity[J].Journal of Medical Information,2019,32(04):16.[doi:10.3969/j.issn.1006-1959.2019.06.006]
[5]蔡 凯,黄贵华.基于生命/影像组学的精准组学放射治疗研究进展[J].医学信息,2020,33(14):27.[doi:10.3969/j.issn.1006-1959.2020.14.010]
 CAI Kai,HUANG Gui-hua.Research Progress of Precise Omics Radiotherapy Based on Life/Imaging Omics[J].Journal of Medical Information,2020,33(04):27.[doi:10.3969/j.issn.1006-1959.2020.14.010]
[6]杜金蓉,李婷婷,韩 俗.用于疑似新冠肺炎患者筛查的AI医学影像辅助诊断系统与PACS系统对接的设计与实现[J].医学信息,2020,33(15):10.[doi:10.3969/j.issn.1006-1959.2020.15.005]
 DU Jin-rong,LI Ting-ting,HAN Su.Design and Implementation of AI Medical Imaging Assisted Diagnosis System and PACS Systemfor the Screening of Suspected Novel Coronary Pneumonia Patients[J].Journal of Medical Information,2020,33(04):10.[doi:10.3969/j.issn.1006-1959.2020.15.005]
[7]李言生,龚后武,栗翊超,等.基于真实世界数据的疾病风险预测研究[J].医学信息,2020,33(23):17.[doi:10.3969/j.issn.1006-1959.2020.23.006]
 LI Yan-sheng,GONG Hou-wu,LI Yi-chao,et al.Research on Disease Risk Prediction Based on Real World Data[J].Journal of Medical Information,2020,33(04):17.[doi:10.3969/j.issn.1006-1959.2020.23.006]
[8]苗 豆,祝雅如,齐文娟,等.2015年~2019年我国医疗大数据领域研究热点分析[J].医学信息,2021,34(10):1.[doi:10.3969/j.issn.1006-1959.2021.10.001]
 MIAO Dou,ZHU Ya-ru,QI Wen-juan,et al.Analysis of Research Hotspots in the Field of Medical Big Data in China from 2015 to 2019[J].Journal of Medical Information,2021,34(04):1.[doi:10.3969/j.issn.1006-1959.2021.10.001]
[9]金祝华,杨立新,朱 蕾,等.智慧医院技术设计与项目管理[J].医学信息,2021,34(10):29.[doi:10.3969/j.issn.1006-1959.2021.10.008]
 JIN Zhu-hua,YANG Li-xin,ZHU Lei,et al.Smart Hospital Technical Design and Project Management[J].Journal of Medical Information,2021,34(04):29.[doi:10.3969/j.issn.1006-1959.2021.10.008]
[10]刘 超,石艳丽,赵 怡.乳腺癌人工智能辅助诊断专利情报研究[J].医学信息,2023,36(05):46.[doi:10.3969/j.issn.1006-1959.2023.05.008]
 LIU Chao,SHI Yan-li,ZHAO Yi.Patent Analysis of AI Assisted Diagnosis of Breast Cancer[J].Journal of Medical Information,2023,36(04):46.[doi:10.3969/j.issn.1006-1959.2023.05.008]

更新日期/Last Update: 1900-01-01