本文關(guān)鍵詞：基于普通攝像頭的非接觸式生理參數(shù)檢測(cè)技術(shù)研究　出處：《山東大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 普通攝像頭 非接觸 成像式光電容積描記技術(shù) 歐拉放大 生理參數(shù)

【摘要】：隨著經(jīng)濟(jì)的發(fā)展和城鎮(zhèn)化的推進(jìn),國(guó)民生活工作方式發(fā)生了較大的改變,再加上人口年齡結(jié)構(gòu)老齡化的趨勢(shì),心血管疾病的發(fā)病率顯著上升。心率、血氧飽和度等作為與心血管疾病密切相關(guān)的生理參數(shù),在臨床診斷以及日常檢測(cè)中起著重要作用。但現(xiàn)在普遍應(yīng)用的生理參數(shù)檢測(cè)手段,測(cè)量時(shí)均需要與被測(cè)者皮膚直接接觸,不適用于燒傷燙傷病人或者新生兒;一些設(shè)備操作復(fù)雜,不適用于日�？旖輽z測(cè)。成像式光電容積描記(Imaging Photoplethysmography,IPPG)技術(shù)是近幾年發(fā)展起來(lái)的一種非接觸式生理參數(shù)檢測(cè)技術(shù)。IPPG技術(shù)具有非接觸、易操作、硬件要求低等優(yōu)勢(shì),受到了醫(yī)學(xué)及儀器測(cè)量領(lǐng)域研究人員的廣泛關(guān)注。如何使設(shè)備更簡(jiǎn)易,以及如何得到更準(zhǔn)確更全面的生理參數(shù),是目前的主要研究方向。本論文簡(jiǎn)要介紹了現(xiàn)有的主要生理參數(shù)的檢測(cè)方法,討論了接觸式檢測(cè)的不足之處,分析了人體組織的光學(xué)特性和IPPG技術(shù)的測(cè)量原理,綜述了目前利用IPPG技術(shù)測(cè)量生理參數(shù)的方法,并對(duì)測(cè)得的血液容積脈搏波信號(hào)特點(diǎn)進(jìn)行了闡述。然后,論文以IPPG技術(shù)為基礎(chǔ),結(jié)合歐拉放大技術(shù)和小波變換等信號(hào)處理技術(shù),使用普通攝像頭和筆記本電腦,在不附加光源的自然光條件下實(shí)現(xiàn)了心率和血氧飽和度的非接觸式測(cè)量。論文的主要工作包括以下兩部分:1、設(shè)計(jì)并實(shí)現(xiàn)了基于普通攝像頭的心率檢測(cè)方案,并將歐拉放大和小波變換應(yīng)用到了信號(hào)處理過(guò)程中。該部分論證了使用普通工業(yè)CCD彩色相機(jī)和鏡頭實(shí)現(xiàn)心率測(cè)量的可行性,比較了不同感興趣區(qū)域提取到的信號(hào)質(zhì)量差別并確定額頭部位的矩形區(qū)域作為感興趣區(qū)域,使用歐拉放大技術(shù)對(duì)面部的微弱亮度變化加以放大,并利用小波變換去除噪聲,最終得到血液容積脈搏波波形,轉(zhuǎn)換至頻域得到心率值。經(jīng)實(shí)驗(yàn)驗(yàn)證,本論文設(shè)計(jì)的心率檢測(cè)方案測(cè)量結(jié)果準(zhǔn)確度較高,能夠滿足日常心率檢測(cè)的需求。2、設(shè)計(jì)并實(shí)現(xiàn)了基于加有濾光片的雙攝像頭的血氧飽和度檢測(cè)方案,在自然光條件下即可進(jìn)行非接觸式測(cè)量,不用附加特定波長(zhǎng)的光源。論文分析了雙波長(zhǎng)法檢測(cè)血氧飽和度的原理,論證選取了合適波長(zhǎng)的濾光片,使用分別加有660nm和525nm窄帶濾光片的雙攝像頭采集被測(cè)者視頻,通過(guò)歐拉放大、小波變換等過(guò)程從視頻中提取不同波長(zhǎng)光下的血液容積脈搏波交流分量,求得不同波長(zhǎng)下脈搏波峰谷值均值,計(jì)算得到血氧飽和度。實(shí)驗(yàn)結(jié)果與參考值相比存在系統(tǒng)誤差,論文論證了系統(tǒng)誤差產(chǎn)生的原因,并將結(jié)果進(jìn)行了粗略的修正,修正后的結(jié)果與對(duì)比值基本一致。但精確的修正結(jié)果需要重新確定經(jīng)驗(yàn)參數(shù)才能計(jì)算得到,目前在實(shí)驗(yàn)室環(huán)境下沒(méi)有條件進(jìn)行嘗試。
[Abstract]:With the development of economy and urbanization, change the national way of life and work, coupled with the aging population structure, the incidence of cardiovascular disease increased significantly. The heart rate, blood oxygen saturation is closely related to cardiovascular disease physiological parameters, plays an important role in clinical diagnosis and daily detection of physiological parameters. But now commonly used detection methods, measurements were measured by the need for direct contact with the skin, not suitable for burn patients or newborn; some of the equipment operation is complex, not suitable for daily fast detection. Imaging photoelectric plethysmography (Imaging Photoplethysmography IPPG) technology is a non-contact physiological parameters in recent years development of the detection technology.IPPG technology has the advantages of non-contact, easy operation, low hardware requirements, from the medical instrument and measurement field research Wide attention of researchers. How to make the equipment more simple, and how to get more accurate and more comprehensive physiological parameters, is the main research directions. This paper briefly introduces the testing method of the main physiological parameters of the existing, discusses the shortcomings of contact detection and measurement principle of the optical properties of human tissue and IPPG technology the reviews by measuring physiological technical parameters of the IPPG method, and the blood volume pulse wave signal characteristics measured are expounded. Then, based on the IPPG technology, combined with the Euler amplification technique and wavelet transform signal processing technology, the use of ordinary camera and notebook computer, in natural light conditions without additional the light source realizes the non-contact measurement of heart rate and blood oxygen saturation. The main work of this paper includes the following two parts: 1, designed and implemented based on the ordinary camera heart The rate of detection scheme, and the Euler enlargement and wavelet transform is applied to the signal processing. This part demonstrates the use of the ordinary industrial CCD camera and lens color feasibility of heart rate measurement, compares the signal quality difference extraction in different regions of interest and to determine the rectangular area of the forehead as a region of interest, weak brightness the use of Euler amplification facial to amplify and remove noise by wavelet transform, finally get the blood volume pulse wave, converted to the frequency domain to get the heart rate. By experimental verification, this paper set up the heart rate detection scheme accurate measurement results, to meet the daily needs of the heart rate detection of.2, the design and implementation of oxygen saturation detection scheme of dual camera with filters based on non-contact measurement can be carried out in natural light conditions, without additional specific wavelength The paper analyzes the principle of the detection light source. Dual wavelength method of oxygen saturation, the proof of selecting appropriate wavelength filters used respectively with dual camera 660nm and 525nm filters were measured by video, Euler amplification, wavelet transform, lifting the blood volume pulse wave AC component from different wavelengths of light from the video in the different wavelength pulse wave trough mean oxygen saturation is calculated. The experimental results compared with the reference values of the system error, the paper demonstrates the causes of system errors, and the result is a rough correction, the correction results and contrast values. But the accurate correction results need to determine the experience in order to calculate the parameters in the laboratory environment, at present no conditions to try.

【學(xué)位授予單位】：山東大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R318.6;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 馬良;劉琚;;自然光條件下使用普通攝像頭實(shí)現(xiàn)心率測(cè)量[J];信號(hào)處理;2017年S1期

2 隋輝;陳偉偉;王文;;《中國(guó)心血管病報(bào)告2015》要點(diǎn)解讀[J];中國(guó)心血管雜志;2016年04期

3 張曉楓;張香武;趙春華;寧春玉;;基于脈搏光譜分形算法的血氧測(cè)量研究[J];長(zhǎng)春理工大學(xué)學(xué)報(bào)(自然科學(xué)版);2014年02期

4 周秦武;隋芳芳;白平;宋亞楠;尹小龍;;嵌入式無(wú)接觸視頻心率檢測(cè)方法[J];西安交通大學(xué)學(xué)報(bào);2013年12期

5 趙飛帆;方路平;陳仕驍;;基于人臉視頻測(cè)量脈搏方法的初步研究[J];生物醫(yī)學(xué)工程學(xué)雜志;2012年05期

6 賈恩志;;心率快慢有學(xué)問(wèn)[J];醫(yī)藥與保健;2012年09期

7 朱慧;王昱;于文龍;;脈搏呼吸率提取方法的研究[J];武漢理工大學(xué)學(xué)報(bào)(信息與管理工程版);2012年04期

8 王楊;陳濤;徐濤;姜宇莉;唐欣然;李衛(wèi);;Bland-Altman分析結(jié)果散點(diǎn)分布趨勢(shì)與測(cè)量方法變異程度間的關(guān)聯(lián)度分析[J];中華疾病控制雜志;2012年06期

9 鄭鈞;侯銳鋒;;小波去噪中小波基的選擇[J];沈陽(yáng)大學(xué)學(xué)報(bào);2009年02期

10 陳潔;張俊琦;孫樹(shù)平;王海濱;胡振華;;正常心音的第一、第二心音頻率檢測(cè)[J];生物醫(yī)學(xué)工程研究;2008年02期

相關(guān)碩士學(xué)位論文 前6條

1 徐光;基于光電容積脈搏波成像心率檢測(cè)技術(shù)的研究[D];武漢理工大學(xué);2014年

2 姚麗峰;基于PPG和彩色視頻的非接觸式心率測(cè)量[D];天津大學(xué);2012年

3 徐偉;反射式脈搏血氧飽和度信號(hào)檢測(cè)與分析系統(tǒng)[D];蘭州理工大學(xué);2012年

4 王珂;光電容積波用于血氧測(cè)量中的信號(hào)處理方法研究[D];吉林大學(xué);2007年

5 朱平;人體血氧飽和度激光測(cè)量系統(tǒng)的研究[D];吉林大學(xué);2006年

6 杜鋒;脈搏血流動(dòng)力-心電檢測(cè)系統(tǒng)的開(kāi)發(fā)研制[D];中國(guó)人民解放軍信息工程大學(xué);2002年

，

本文編號(hào)：1363492