基于LabVIEW的中醫(yī)診脈系統(tǒng)
發(fā)布時間：2019-05-10 18:54
【摘要】：在中醫(yī)就診過程中，往往會經(jīng)歷“診脈”這一環(huán)節(jié)，然而，對于非中醫(yī)專業(yè)人員很難理解，醫(yī)生如何可以僅僅通過體察病人的脈象就可以推斷出病灶所在。而且，即便是行醫(yī)多年的醫(yī)者，由于受個體主觀因素的影響，對于同一脈象卻也會做出諸多不同的判斷。 本次課題的目的是，借助當下先進的檢測技術，設計一套脈象數(shù)據(jù)采集設備，藉此來印證并分析出脈象與病證之間的關系。希望在醫(yī)療，特別是中醫(yī)行業(yè)中應用開來，作為一種輔助診斷設備，病人就診過程中的所有脈象信息和醫(yī)生給出的診斷結論將會被記錄下來，并上傳到一個脈象信息數(shù)據(jù)平臺，由專人負責分析整理這些上傳的數(shù)據(jù)，歸類統(tǒng)計出某種脈象對應的病癥，最后將統(tǒng)計結果整合在一起，建立起一個脈-癥數(shù)據(jù)庫。 本課題中，根據(jù)脈象是一系列微弱的振動變量這一物理特性，選擇靈敏度高的裸壓電堆棧式應變計PZS001來采集脈搏信號。采集到的脈搏信號會以電壓的形式從應變計輸出，然而，此時的電壓信號極其微弱且含有噪聲干擾；因此，在后續(xù)的操作中，運用功率放大電路對得到的微弱電壓信號進行放大，并在放大電路中加入電容對信號進行濾波，就可以得到一系列相對純凈、強度適中的可測信號；最后借助NI的數(shù)據(jù)采集平臺，將這些調理后的模擬電壓信號轉換成計算機可以識別的量化數(shù)字信號，并通過接口傳輸給計算機，在計算機上利用圖形化編程軟件LabVIEW開發(fā)出與硬件系統(tǒng)對應的數(shù)據(jù)處理軟件環(huán)境，可以將采集到的信號數(shù)據(jù)進行分析、顯示以及存儲等。 歷時數(shù)月的系統(tǒng)搭建以及調試修改，最終成功做出診脈儀原型機。從信號采集到數(shù)據(jù)保存，完全可以實現(xiàn)預期的功能，并且得到的數(shù)據(jù)和圖像也比較穩(wěn)定有規(guī)律，，可以用來進一步的分析處理。
[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.
【學位授予單位】：中國海洋大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.7
本文編號：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.
【學位授予單位】：中國海洋大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN911.7
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