智能中医舌脉诊断手环  

TCM tongue pulse diagnosis bracelet

作　　者：沈睿 毛晓波[1] 周熙 路宜宁 SHEN Rui;MAO Xiaobo;ZHOU Xi;LU Yining(School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China)

机构地区：[1]郑州大学电气工程学院,河南郑州450001

出　　处：《电子设计工程》2022年第14期156-160,共5页Electronic Design Engineering

基　　金：国家重点研发计划课题(2020YFC2006100);中央本级重大增减支项目课题(2060302);郑州大学2020年度大学生创新创业训练计划项目(2020cxcy276)。

摘　　要：针对中医舌诊脉诊仪小型化、标准化、客观化的需求,采用人工智能技术设计了一款智能舌脉诊断手环,其由采集单元和诊断单元构成,能够进行脉象和舌象的采集与分析,并输出诊断报告。其中脉象模块利用光电容积法采集脉象,用随机森林bagging模型判别脉象;舌象模块采用高清摄像头获取舌象图片,利用YOLOv3算法识别定位,提取Lab数据,并用Fisher线性判别模型进行舌象判别。舌脉象判别模型的准确率高达91.07%,具有良好的应用前景。Aiming at the needs of miniaturization,standardization and objectification of TCM tongue pulse diagnosis instrument,an intelligent tongue pulse diagnosis bracelet is designed by using artificial intelligence technology,which is composed of acquisition unit and diagnosis unit.It can collect and analyze pulse and tongue conditions,and output diagnosis report.In the pulse module,the photo capacitance product method is used to collect the pulse,and the random forest bagging model is used to distinguish the pulse;In the tongue image module,high⁃definition camera is used to obtain tongue images,and YOLOv3 algorithm is used to identify and locate,extract Lab data,and Fisher linear discriminant model is used to identify tongue images.The accuracy of the model is 91.07%,which has a good application prospect.

关 键 词：中医 人工智能 舌脉象 手环 

分 类 号：TN6[电子电信—电路与系统]