【摘要】：現(xiàn)代經(jīng)濟(jì)的發(fā)展的速度遠(yuǎn)超出了人們的預(yù)想,隨之而來的是人們的生活水平的提高的速度也在不斷地加快中,不斷進(jìn)步的科技和不停改變的飲食也在一步步的改善著我們的生活方式,伴隨著這些的改變,心血管疾病的患者人數(shù)也越來越多,心血管疾病甚至已經(jīng)成為了威脅大部分人的一種常見的疾病,發(fā)病率也變得越來越高了。在未來,對于心血管疾病患者的治療和診斷將會成為一個國家醫(yī)療衛(wèi)生發(fā)展的重要影響因素。在對心血管疾病的各種檢測手段中,心音信號是比較常見的診斷方式,心音信號中包含了大量心臟健康狀態(tài)的數(shù)據(jù)信息。本文系統(tǒng)研究了心音信號特點(diǎn),在分析了國內(nèi)外相關(guān)工作的基礎(chǔ)上,設(shè)計一款基于DSP開發(fā)的便攜式可視化心音采集及處理分析系統(tǒng)。該系統(tǒng)主要分成四個部分:心音硬件采集系統(tǒng),心音去噪預(yù)處理算法研究,心音自動識別算法設(shè)計及應(yīng)用軟件的設(shè)計。硬件采集系統(tǒng)主要是基于DSP處理芯片及相關(guān)硬件設(shè)計的,包括了心音傳感器的選擇,電源模塊的設(shè)計,音頻模塊的設(shè)計,LCD顯示模塊及觸摸屏模塊的設(shè)計,SD存儲模塊。在DSP軟件編程上實(shí)現(xiàn)了心音信號的采集和顯示,觸摸屏控制和數(shù)據(jù)保存的功能。心音預(yù)處理算法研究主要針對多種小波去噪算法分析處理數(shù)據(jù),利用采集設(shè)備采集多組數(shù)據(jù),利用算法進(jìn)行處理分析,對比各種處理結(jié)果,找到最合適的去噪算法,編寫心音信號的預(yù)處理的相關(guān)算法。心音自動識別算法主要對比兩種心音信號包絡(luò)提取算法,利用心音信號包絡(luò)圖對心音信號實(shí)現(xiàn)自動識別,定位提取S1及S2相關(guān)特征參數(shù),設(shè)計實(shí)現(xiàn)心臟相關(guān)儲備參數(shù)的提取分析。應(yīng)用軟件設(shè)計,選取LabVIEW作為開發(fā)平臺,同時搭載MATLAB開發(fā)的心音處理相關(guān)算法,設(shè)計用戶操作界面,便于用戶操作使用。應(yīng)用軟件設(shè)計部分還包括數(shù)據(jù)庫的設(shè)計,選用MySQL作為數(shù)據(jù)庫,實(shí)現(xiàn)用戶信息和用戶心音數(shù)據(jù)的保存,同時便于用戶隨時調(diào)用歷史數(shù)據(jù)。通過系統(tǒng)測試和使用,本設(shè)計完成了各模塊的設(shè)計調(diào)試工作,結(jié)果表明各模塊功能完整,數(shù)據(jù)有效,實(shí)現(xiàn)了預(yù)期目標(biāo)。整體系統(tǒng)設(shè)計的功能比較完善,達(dá)到了系統(tǒng)設(shè)計預(yù)期效果。
[Abstract]:The speed of the development of modern economy is far beyond the expectations of people, and it follows that the speed of people's living standards is increasing continuously, the progress of science and technology and the constantly changing diet are improving our way of life step by step, with these changes, The number of patients with cardiovascular disease is also becoming more and more, and cardiovascular disease has become a common disease that threatens most of the population, and the incidence of cardiovascular diseases has also become more and more high. In the future, the treatment and diagnosis of cardiovascular disease patients will be an important factor of national health development. In various detection methods for cardiovascular diseases, the heart sound signal is a common diagnosis method, and the heart sound signal contains data information of a large number of heart health states. In this paper, the characteristics of heart sound signal are studied in this paper. Based on the analysis of the relevant work at home and abroad, a portable visual heart sound acquisition and processing analysis system based on DSP is designed. The system is divided into four parts: the heart sound hardware acquisition system, the heart sound de-noising pre-processing algorithm research, the heart sound automatic recognition algorithm design and the design of the application software. The hardware acquisition system is based on the DSP processing chip and related hardware design, including the selection of the heart sound sensor, the design of the power module, the design of the audio module, the LCD display module and the design of the touch screen module, and the SD memory module. The function of the acquisition and display of the heart sound signal, the control of the touch screen and the data storage is realized on the DSP software programming. The research of the pre-processing algorithm of the heart sound mainly analyzes the processing data for a variety of wavelet de-noising algorithms, uses the acquisition equipment to acquire a plurality of sets of data, carries out processing analysis by using the algorithm, compares various processing results, finds the most suitable de-noising algorithm, and prepares a correlation algorithm of the pre-processing of the heart sound signal. The heart sound automatic recognition algorithm is mainly used to compare the two kinds of heart sound signal envelope extraction algorithms, and the heart sound signal is automatically recognized by using the heart sound signal envelope graph, and the relevant characteristic parameters of S1 and S2 are extracted and analyzed, and the extraction and analysis of the relevant reserve parameters of the heart are designed. The application software is designed, LabVIEW is selected as the development platform, and the heart sound processing related algorithm developed by MATLAB is carried out, and the user interface of the user is designed to be convenient for the user to operate and use. The application software design part also includes the design of the database, the MySQL is selected as the database, the user information and the user's heart sound data are saved, and the user is convenient to call the historical data at any time. Through the system test and use, the design and debugging work of each module is completed, and the results show that the function of each module is complete, the data is valid, and the expected target is realized. The design function of the whole system is perfect, and the expected effect of the system is achieved.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN912.3;R54

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 張聿釗;肺心病的心音圖特征(附79例心音圖分析)[J];安醫(yī)學(xué)報;1978年06期

2 許祖缽;心音圖的臨床應(yīng)用及評價[J];實(shí)用內(nèi)科雜志;1984年01期

3 尤鳳珍;心音圖780例總結(jié)[J];實(shí)用醫(yī)學(xué)雜志;1994年01期

4 鄔曉嵐,彭承琳;計算機(jī)輔助心音教學(xué)系統(tǒng)[J];生物醫(yī)學(xué)工程學(xué)雜志;1999年03期

5 張孝桂;何為;周靜;李杰;石小波;;基于嵌入式系統(tǒng)的便攜式心音分析儀的研究[J];儀器儀表學(xué)報;2007年02期

6 趙虎;宋曉棟;何為;;基于虛擬儀器的數(shù)字心音圖分析儀的設(shè)計研究[J];醫(yī)療衛(wèi)生裝備;2009年01期

7 羅保欽;陳遠(yuǎn)貴;曾慶寧;;基于簡單度和能量的心音分段算法研究[J];計算機(jī)仿真;2011年01期

8 紀(jì)建鵬;鄭柏盛;吳效明;;心音圖自動識別算法的設(shè)計研究[J];醫(yī)療衛(wèi)生裝備;2011年10期

9 劉艷紅;曾偉杰;紀(jì)建鵬;;心音圖自動識別算法的設(shè)計研究[J];中國醫(yī)學(xué)物理學(xué)雜志;2012年05期

10 高云秋;金瑞和;楊大鵬;;運(yùn)動員的心音圖[J];北京醫(yī)學(xué)院學(xué)報;1964年03期

相關(guān)會議論文 前5條

1 胡鋼;;心音圖臨床應(yīng)用60例分析[A];第二屆全國心功能學(xué)術(shù)研討會論文摘要匯編[C];1990年

2 瞿俊豪;王倩;張江德;;舒張早期心音的心音圖鑒別診斷(附7例報告)[A];第二屆全國心功能學(xué)術(shù)研討會論文摘要匯編[C];1990年

3 徐耕;張文波;周穎;;現(xiàn)代心音圖在心衰診斷及治療中的研究進(jìn)展[A];2013年浙江省心電生理與起搏學(xué)術(shù)年會論文匯編[C];2013年

4 龔成;段艷麗;鄭榮;樊昌周;;基于定點(diǎn)DSP芯片實(shí)現(xiàn)的心音輔助診斷儀[A];信號與信息處理技術(shù)第三屆信號與信息處理全國聯(lián)合學(xué)術(shù)會議論文集[C];2004年

5 劉靜云;崔麗慧;;200例冠心病心音圖改變及臨床分析[A];第二屆全國心功能學(xué)術(shù)研討會論文摘要匯編[C];1990年

相關(guān)碩士學(xué)位論文 前10條

1 霍曉東;基于MSP430的心音電子聽診系統(tǒng)設(shè)計[D];河北大學(xué);2015年

2 胡景珍;便攜式心音采集及處理系統(tǒng)的設(shè)計[D];電子科技大學(xué);2014年

3 楊勇;心音數(shù)據(jù)庫管理系統(tǒng)的研究[D];重慶大學(xué);2010年

4 王東;基于心音和心電的心功能檢測系統(tǒng)研究[D];重慶大學(xué);2010年

5 趙紅;基于心音的心臟儲備指標(biāo)提取算法研究[D];西華大學(xué);2014年

6 蔡華民;基于圖像處理的心音圖特征提取技術(shù)的研究[D];南京郵電大學(xué);2013年

7 柯明;人群心臟狀態(tài)新指標(biāo)大樣本調(diào)研和數(shù)據(jù)分析研究[D];重慶大學(xué);2009年

8 董筠;心音的非線性時間序列分析[D];浙江大學(xué);2003年

9 咸蕾;心音圖運(yùn)動試驗(yàn)評價心臟儲備的臨床研究[D];吉林大學(xué);2013年

10 但春梅;心音定位研究與軟件系統(tǒng)開發(fā)[D];重慶大學(xué);2008年

，

本文編號：2502615