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智能化脉象采集与象谱分析系统研究

【作者】 李国栋

【导师】 温殿忠;

【作者基本信息】 黑龙江大学 , 微电子学与固体电子学, 2002, 硕士

【摘要】 本课题主要研究利用压阻式压力传感器制造人体脉象检测仪,并在实现脉象波形后,临床采集与脉象有明显关系的病例数据,对其进行处理分析。 本文提出一种集传感技术、模拟电子技术、数字电子技术、单片机技术及计算机技术于一身的脉象采集系统。文章中详细阐述了脉象传感器的设计原理及其外围测量电路。针对硬件系统易产生零漂、抗干扰能力差等难题,本系统采用集成芯片-隔离放大器AD202作为信号放大装置。并将采集后的数据通过收发器ADM202实现与PC机的串口通信。临床实验采集结果表明:该设计系统灵敏度高,重复性好,脉形识别率高。 文章最后拟采用粗糙集理论研究了脉图参数与中医辨证的关系,为二者之间关系的研究提供了一种新算法,新途径。计算结果表明测得的脉象和辨证结论有一定的关系。

【Abstract】 In this dissertation, the piezoresistance pressure sensor is chosen for the acquisition of the pulse image. After recurrence of the pulse waveform, we combined the patient’s pathography and then processed these data.This article proposes a kind of pulse image acquisition system concerned with sensor technology, analogue electronics, digital electronics, SCM and computer technology. The principle of the sensor and the circuit are expatiated in detail. In order to correct the baseline drift and overcome the noise interference, we adopt the integrated chip isolated amplifier-AD202, to amplify the pulse signal. Then the pulse data are transformed to the personal computer through transceiver-ADM202. The clinic data illustrate the high sensitivity, better repeatability and precision of this system.Finally, the article applies the rough set theory to study the relationship of pulse image with the diagnosis of Traditional Chinese Medicine (TCM). It is a new kind of algorithm and efficient method. The results show that Traditional Chinese Pulse Images do have some relation with the diagnosis of Traditional Chinese Medicine (TCM).

  • 【网络出版投稿人】 黑龙江大学
  • 【网络出版年期】2003年 01期
  • 【分类号】TP274.2
  • 【被引频次】11
  • 【下载频次】529
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