摘要
目的建立“动态识别的寸口桡动脉运动多维脉诊信息采集处理与分析系统”,研制新型脉诊仪。方法在寸口桡动脉处,使用不同的传感器(血流阻抗传感器、超声脉搏信号传感器、光电脉搏传感器)采集脉诊部位的不同物理量(如压力、血流阻抗、指容积脉搏波、ECG),并应用数据挖掘手段分析所采集的脉诊信息,进行综合的脉诊研究。结果突破了目前中医脉诊客观化研究中通用的记录脉搏波形的一维信息采集处理模式,建立了中医脉诊动态识别、二维剖面、多路信号复合和数据挖掘的新模式。结论该系统可将脉诊信号转换为直观的、可视的、定量的血管运动信息,是中医脉诊客观化的重要进展。
Objective To establish a multidimensional pulse-diagnostic message collecting anti processing system for dynamic identification of radial artery motion, and to develop a new model of pulse-diagnostic apparatus. Method Different sensors （such as blood flow impedance sensor, ultrasound pulse signal sensor, photoelectric pulse sensor, etc. ） were used to collect different physical variables （such as pressure, blood flow impedance, finger-volume pulse wave, ECG, etc. ）, at the cunkou site of the radial artery. The pulse-diagnostic messages collected were comprehensively studied by data-digging technique. Result The present one-dimensional mode of collecting and processing pulse-diagnostic messages was broken through, and a new mode of collecting pulse-diagnostic messages was established, which possesses the features of pulse-diagnostic signal dynamic identification, two-dimensional cross section, multi-channel, and data digging. Conclusion The system developed can transform pulsediagnostic messages into intuitionistic, visual and quantitative vascular motion messages.
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2005年第6期43-46,共4页
Journal of Beijing University of Traditional Chinese Medicine
基金
国家自然基金面上项目(No.3997084430371720)
国家自然基金重点项目(No.60431020)
国家科技攻关项目(No.2004BA721A09)
关键词
脉诊仪
桡动脉运动
多维脉诊信息
彩色超声
图像识别
pulse-diagnostic apparatus
radial artery motion
multidimensional pulse-diagnostic message
color ultrasound
Image Identification
