基于LabVIEW的中医诊脉系统
发布时间:2019-05-10 18:54
【摘要】:在中医就诊过程中,往往会经历“诊脉”这一环节,然而,对于非中医专业人员很难理解,医生如何可以仅仅通过体察病人的脉象就可以推断出病灶所在。而且,即便是行医多年的医者,由于受个体主观因素的影响,对于同一脉象却也会做出诸多不同的判断。 本次课题的目的是,借助当下先进的检测技术,设计一套脉象数据采集设备,藉此来印证并分析出脉象与病证之间的关系。希望在医疗,特别是中医行业中应用开来,作为一种辅助诊断设备,病人就诊过程中的所有脉象信息和医生给出的诊断结论将会被记录下来,并上传到一个脉象信息数据平台,由专人负责分析整理这些上传的数据,归类统计出某种脉象对应的病症,最后将统计结果整合在一起,建立起一个脉-症数据库。 本课题中,根据脉象是一系列微弱的振动变量这一物理特性,选择灵敏度高的裸压电堆栈式应变计PZS001来采集脉搏信号。采集到的脉搏信号会以电压的形式从应变计输出,然而,此时的电压信号极其微弱且含有噪声干扰;因此,在后续的操作中,运用功率放大电路对得到的微弱电压信号进行放大,并在放大电路中加入电容对信号进行滤波,就可以得到一系列相对纯净、强度适中的可测信号;最后借助NI的数据采集平台,将这些调理后的模拟电压信号转换成计算机可以识别的量化数字信号,并通过接口传输给计算机,在计算机上利用图形化编程软件LabVIEW开发出与硬件系统对应的数据处理软件环境,可以将采集到的信号数据进行分析、显示以及存储等。 历时数月的系统搭建以及调试修改,最终成功做出诊脉仪原型机。从信号采集到数据保存,完全可以实现预期的功能,并且得到的数据和图像也比较稳定有规律,,可以用来进一步的分析处理。
[Abstract]:In the process of medical treatment of traditional Chinese medicine, it is often experienced the link of "diagnosing pulse". However, it is difficult for non-traditional Chinese medicine professionals to understand how doctors can infer the location of the lesion simply by observing the pulse of the patient. Moreover, even doctors who have been practicing medicine for many years will make many different judgments about the same pulse because of the influence of individual subjective factors. The purpose of this paper is to design a set of pulse data acquisition equipment with the help of advanced detection technology, so as to verify and analyze the relationship between pulse and disease. It is hoped that as an auxiliary diagnostic equipment, all pulse information and the diagnosis conclusions given by the doctor will be recorded and uploaded to a pulse information data platform as an auxiliary diagnostic device in the medical treatment, especially in the traditional Chinese medicine industry. The special person is responsible for analyzing and sorting out these uploaded data, categorizing and counting the corresponding diseases of certain pulse patterns, and finally integrating the statistical results together to establish a pulse-to-disease database. In this paper, according to the physical characteristic that pulse is a series of weak vibration variables, a bare piezoelectric stack strain gauge (PZS001) with high sensitivity is selected to collect pulse signal. The collected pulse signal will be output from the strain gauge in the form of voltage. However, the voltage signal is extremely weak and contains noise interference. Therefore, in the subsequent operation, a series of relatively pure and moderate intensity measured signals can be obtained by using the power amplifier circuit to amplify the weak voltage signal and adding capacitance to the amplifier circuit to filter the signal. Finally, with the help of the data acquisition platform of NI, these analog voltage signals are converted into quantized digital signals that can be recognized by the computer and transmitted to the computer through the interface. The data processing software environment corresponding to the hardware system is developed by using the graphical programming software LabVIEW on the computer, which can analyze, display and store the collected signal data. It lasted several months to build and debug the system, and finally successfully made the prototype of pulse diagnosis instrument. From signal acquisition to data preservation, the expected functions can be realized, and the obtained data and images are stable and regular, which can be used for further analysis and processing.
【学位授予单位】:中国海洋大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN911.7
本文编号:2473915
[Abstract]:In the process of medical treatment of traditional Chinese medicine, it is often experienced the link of "diagnosing pulse". However, it is difficult for non-traditional Chinese medicine professionals to understand how doctors can infer the location of the lesion simply by observing the pulse of the patient. Moreover, even doctors who have been practicing medicine for many years will make many different judgments about the same pulse because of the influence of individual subjective factors. The purpose of this paper is to design a set of pulse data acquisition equipment with the help of advanced detection technology, so as to verify and analyze the relationship between pulse and disease. It is hoped that as an auxiliary diagnostic equipment, all pulse information and the diagnosis conclusions given by the doctor will be recorded and uploaded to a pulse information data platform as an auxiliary diagnostic device in the medical treatment, especially in the traditional Chinese medicine industry. The special person is responsible for analyzing and sorting out these uploaded data, categorizing and counting the corresponding diseases of certain pulse patterns, and finally integrating the statistical results together to establish a pulse-to-disease database. In this paper, according to the physical characteristic that pulse is a series of weak vibration variables, a bare piezoelectric stack strain gauge (PZS001) with high sensitivity is selected to collect pulse signal. The collected pulse signal will be output from the strain gauge in the form of voltage. However, the voltage signal is extremely weak and contains noise interference. Therefore, in the subsequent operation, a series of relatively pure and moderate intensity measured signals can be obtained by using the power amplifier circuit to amplify the weak voltage signal and adding capacitance to the amplifier circuit to filter the signal. Finally, with the help of the data acquisition platform of NI, these analog voltage signals are converted into quantized digital signals that can be recognized by the computer and transmitted to the computer through the interface. The data processing software environment corresponding to the hardware system is developed by using the graphical programming software LabVIEW on the computer, which can analyze, display and store the collected signal data. It lasted several months to build and debug the system, and finally successfully made the prototype of pulse diagnosis instrument. From signal acquisition to data preservation, the expected functions can be realized, and the obtained data and images are stable and regular, which can be used for further analysis and processing.
【学位授予单位】:中国海洋大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN911.7
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