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寸口桡动脉智能脉象采集与分析系统
引用本文:王海龙,弓伟. 寸口桡动脉智能脉象采集与分析系统[J]. 中国医学物理学杂志, 2022, 0(12): 1525-1529. DOI: DOI:10.3969/j.issn.1005-202X.2022.12.011
作者姓名:王海龙  弓伟
作者单位:广州中医药大学医学信息工程学院, 广东 广州 510006
基金项目:国家重点研发计划(2019YFC1710400);;教育部产学合作协同育人项目(220506528172218);
摘    要:传统的脉诊信息收集和辩证具有明显的主观特性,影响证候的规范化和标准化。本文提出一种融合了微控制器技术、传感器技术、数字信号处理技术、人工智能等技术的数字化脉诊仪,采用数字化信号表示中医脉诊的信息,针对采集到的脉象信息使用机器学习的有关算法进行脉象的识别和分类,该系统对提升中医临床诊疗的客观性和准确性具有重要的借鉴和参考意义。

关 键 词:桡动脉  脉象  压力传感器  小波变换  支持向量机

Intelligent pulse acquisition and analysis system for radial artery
WANG Hailong,GONG Wei. Intelligent pulse acquisition and analysis system for radial artery[J]. Chinese Journal of Medical Physics, 2022, 0(12): 1525-1529. DOI: DOI:10.3969/j.issn.1005-202X.2022.12.011
Authors:WANG Hailong  GONG Wei
Affiliation:School of Medical Information Engineering, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
Abstract:Abstract: Traditional pulse diagnosis information collection and syndrome differentiation have obvious subjectivity, which affects the normalization and standardization of syndromes. Herein a digital pulse diagnosis instrument which integrates microcontroller technology, sensor technology, digital signal processing technology, artificial intelligence and other technologies is presented. The information of traditional Chinese medicine pulse diagnosis is represented by digital signals. For the collected pulse information, the relevant algorithms using machine learning are used to identify and classify the pulse conditions. The system has important reference significance for improving the objectivity and accuracy of clinical diagnosis and treatment of traditional Chinese medicine.
Keywords:Keywords: radial artery pulse condition pressure sensor wavelet transform support vector machine
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