【摘要】：中醫(yī)脈診學(xué)是中國(guó)傳統(tǒng)文化的重要組成部分,是中華文明的藝術(shù)瑰寶。中醫(yī)博大精深,源遠(yuǎn)流長(zhǎng),幾千年來(lái)中醫(yī)學(xué)為中華民族的繁衍健康做出了重要貢獻(xiàn),至今仍是醫(yī)療實(shí)踐中一門(mén)不可或缺的重要學(xué)科。隨著社會(huì)科學(xué)的發(fā)展,脈象儀作為中醫(yī)與現(xiàn)代科技結(jié)合的結(jié)晶,解決了中醫(yī)脈診的客觀化和科學(xué)化的問(wèn)題,然而現(xiàn)階段研制的脈診儀多停留在實(shí)驗(yàn)室階段,難以推廣和應(yīng)用,并且隨著社會(huì)老齡化,人們對(duì)醫(yī)療穿戴式設(shè)備的需求變得十分迫切。為了應(yīng)對(duì)上述狀況,本文設(shè)計(jì)了一種基于中醫(yī)脈診的穿戴式脈象檢測(cè)和分析系統(tǒng)。硬件方面通過(guò)渦輪蝸桿及螺紋傳動(dòng)結(jié)構(gòu)解決裝置的尺寸和傳動(dòng)問(wèn)題,采用貼合中醫(yī)采脈手法的壓阻式傳感器來(lái)提取脈象信號(hào),并設(shè)計(jì)了自動(dòng)尋找最佳取脈壓力算法,去模擬中醫(yī)浮、中、沉的采脈手法；另外結(jié)合傳感器的輸出信號(hào)的特點(diǎn)設(shè)計(jì)了對(duì)應(yīng)的信號(hào)調(diào)理電路；軟件方面下位機(jī)控制采用arduino控制器,通過(guò)藍(lán)牙與上位機(jī)進(jìn)行通訊,上位機(jī)手機(jī)端實(shí)現(xiàn)信息的采集、波形的繪制、時(shí)域特征的提取及下位機(jī)的控制交互等功能。脈象分析方面,采用非線性分析方法中的遞歸定量法分析了平脈、滑脈、弦脈三種脈象信號(hào),從構(gòu)建的相空間重構(gòu)圖可以發(fā)現(xiàn)脈象信號(hào)有明顯周期性。從精確遞歸圖中提取了脈象信號(hào)的10個(gè)參數(shù),隨后利用灰度共生矩陣對(duì)飽和遞歸圖提取了紋理特征的4種參數(shù)。本文對(duì)平脈、滑脈、弦脈提取的參數(shù)進(jìn)行了兩兩對(duì)比并分析了脈象之間的差異。最后,利用深度信念網(wǎng)路(DBN)的方法對(duì)三種脈象信號(hào)進(jìn)行分類,通過(guò)調(diào)節(jié)不同隱層數(shù)和節(jié)點(diǎn),分析對(duì)分類準(zhǔn)確率的影響,并最終確定合適的隱層數(shù)和節(jié)點(diǎn)。
[Abstract]:Pulse diagnosis is an important part of Chinese traditional culture and an artistic treasure of Chinese civilization. Traditional Chinese medicine (TCM) has a long history. It has made important contributions to the health of the Chinese nation for thousands of years and is still an indispensable subject in medical practice. With the development of social science, pulse instrument, as a combination of traditional Chinese medicine and modern science and technology, has solved the problem of objectification and scientization of pulse diagnosis of traditional Chinese medicine. However, the pulse diagnosis instrument developed at this stage is mostly in the laboratory stage, so it is difficult to popularize and apply it. And with the aging of society, people's demand for medical wearable devices becomes very urgent. In order to deal with the above situation, a wearable pulse detection and analysis system based on TCM pulse diagnosis is designed. On the hardware side, through the turbine worm and screw drive structure to solve the problem of the size and transmission of the device, the piezoresistive sensor with traditional Chinese medicine pulse collecting technique is used to extract the pulse signal, and the automatic algorithm for finding the best pulse pressure is designed. In addition, the corresponding signal conditioning circuit is designed in combination with the characteristics of the output signal of the sensor. In software, the lower computer control adopts arduino controller and communicates with the upper computer through Bluetooth. The functions of information collection, waveform drawing, time domain feature extraction and the control interaction of the lower computer are realized on the mobile terminal of the upper computer. In the aspect of pulse analysis, three kinds of pulse signals, flat pulse, smooth pulse and chord pulse, are analyzed by recursive quantitative method in nonlinear analysis method. From the constructed phase space reconstruction diagram, it can be found that the pulse signal has obvious periodicity. Ten parameters of pulse signal are extracted from accurate recursive image, and then four parameters of texture feature are extracted by gray level co-occurrence matrix. In this paper, the extraction parameters of flat, smooth and chord veins are compared and the differences between pulse patterns are analyzed. Finally, three pulse signals are classified by using the method of deep belief network (DBN). By adjusting the number of hidden layers and nodes, the effect on classification accuracy is analyzed, and the appropriate hidden layers and nodes are finally determined.
【學(xué)位授予單位】：華東理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN911.7;TH789

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 周時(shí)偉;謝維波;;基于Android的智能家居終端設(shè)計(jì)與實(shí)現(xiàn)[J];微型機(jī)與應(yīng)用;2012年14期

，

本文編號(hào)：2246988