摘要
目的客观准确的脉象信息是中医脉诊判断病理的重要依据,三部脉诊仪寸关尺精准定位为获得准确的脉象信息提供了保障。方法依据中医“三部九候”理论,本文提出基于机器视觉的寸关尺三部智能定位的方法。为实现寸口三部脉的脉搏信号准确采集,采用六个步进电机以及丝杠导轨搭建了脉诊仪的三部定位机构,实现脉搏传感器在水平面上的运动;使用摄像头实现腕部图像的获取,基于机器视觉算法实现寸关尺三部位置坐标的计算。结果基于OpenCV机器视觉库对腕部图像进行预处理后,进行皮肤分割、多边形轮廓拟合和角点检测等操作,根据中医脉诊理论和桡动脉解剖知识,识别出寸关尺三部的准确位置。最后基于RS485通信技术驱动控制水平运动的步进电机,将脉搏传感器移动到寸关尺对应的位置,实现寸关尺三部的智能定位。结论本研究可为脉诊三部自动定位研究提供参考,为智能脉诊仪的使用和推广奠定基础。
Objective Objective and accurate pulse information is an important basis for traditional Chinese medicine(TCM)pulse diagnosis to determine pathology.The accurate positioning of the Cun-Guan-Chi pulse diagnostic instruments provides a guarantee for obtaining accurate pulse information.Methods Based on the theory of"three parts and nine positions"in Chinese medicine,this paper proposes a method for intelligent positioning of the three parts of the Cun-Guan-Chi based on machine vision.In order to achieve the accurate pulse signal acquisition of the three pulse parts of the cunkou,six stepper motors and a screw guide are used to construct the pulse diagnostic instrument′s three parts of Cun-Guan-Chi positioning module to realize the movement of the pulse sensor in the horizontal plane;a camera is installed above the wrist rest of the pulse diagnostic instrument to realize the wrist image acquisition,and the calculation of the coordinates of the three positions of the Cun-Guan-Chi is realized based on the machine vision algorithm.Results After pre-processing the wrist image based on the machine vision library OpenCV,skin segmentation,polygon contour fitting and corner point detection are performed to identify the exact position of the three parts of the Cun-Guan-Chi based on the theory of Chinese medicine pulse diagnosis and knowledge of radial artery anatomy.Finally,based on RS485 communication technology,the stepper motor controlling horizontal movement is driven to move the pulse sensor to the corresponding position of the Cun-Guan-Chi to realize the intelligent positioning of the three parts of the Cun-Guan-Chi.Conclusion This study can provide a reference for pulse diagnosis automatic positioning research and lay the foundation for the use and promotion of intelligent pulse diagnostic instruments.
作者
黄霖
颜建军
蔡诗雨
吴晓娅
周炜
郭睿
燕海霞
王忆勤
Huang Lin;Yan Jianjun;Cai Shiyu;Wu Xiaoya;Zhou Wei;Guo Rui;Yan Haixia;Wang Yiqin(School of Mechanical and Power Engineering,East China University of Science and Technology,Shanghai 200237,China;Shanghai Key Laboratory of Intelligent Sensing and Detection Technology,East China University of Science and Technology,Shanghai 200237,China;Comprehensive Laboratory of Four Diagnostic Methods,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Shanghai Key Laboratory of Health Identification and Assessment,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
出处
《世界科学技术-中医药现代化》
CSCD
北大核心
2023年第2期806-812,共7页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
国家自然科学基金面上项目(82074332):基于脉象信息集成学习的动脉粥样硬化性心血管疾病发病风险与冠脉危险事件评估模型的研究,负责人:郭睿
上海市科学技术委员会生物医药仪器专项(19441901100):基于人工智能的新型中医脉诊仪的研制,负责人:郭睿
关键词
中医脉诊
脉象采集
机器视觉
自动定位
Pulse Diagnosis
Pulse signal acquisition
Machine vision
Automatic positioning
