發(fā)布時(shí)間：2018-02-20 00:04

  本文關(guān)鍵詞： 光電容積脈搏波 GM(1 1)模型 脈搏波傳導(dǎo)時(shí)間 脈壓差測(cè)量模型　出處：《中國(guó)科學(xué)技術(shù)大學(xué)》2017年博士論文　論文類型：學(xué)位論文

【摘要】：心血管疾病(Cardiovascular diseases,CVDs)通常由心臟、血管和血液運(yùn)輸系統(tǒng)發(fā)生異常導(dǎo)致,根據(jù)世界衛(wèi)生組織(World Health Organization,WHO)2015年公布的數(shù)據(jù)顯示,全球31%的人死于這類疾病,已經(jīng)對(duì)人體健康造成嚴(yán)重威脅。實(shí)現(xiàn)動(dòng)態(tài)監(jiān)測(cè)心率、血壓、血氧濃度和血液黏度等生理參數(shù),對(duì)心血管類病癥的診治具有指導(dǎo)作用。目前傳統(tǒng)的生理參數(shù)測(cè)量方法由于便攜性差和測(cè)量舒適感低等限制,不能滿足連續(xù)測(cè)量的需求。人體脈搏波是判斷心血管系統(tǒng)健康與否的重要標(biāo)準(zhǔn),生理參數(shù)測(cè)量模型的研究通常以脈搏波為研究對(duì)象。在眾多脈搏波測(cè)量方法當(dāng)中,光電測(cè)量法通過特定光譜獲取人體容積脈搏波,測(cè)量過程重復(fù)性好,舒適度高,能夠?qū)崿F(xiàn)連續(xù)測(cè)量。本文重點(diǎn)對(duì)光電容積脈搏波(Photoplethysmography,PPG)和不同生理參數(shù)之間的關(guān)系進(jìn)行深入研究,分別為心率、血壓、血液黏度和血氧飽和度四種生理參數(shù)建立對(duì)應(yīng)的測(cè)量模型,將測(cè)量結(jié)果以腕表的形式展現(xiàn),具有很好的學(xué)術(shù)意義和市場(chǎng)應(yīng)用價(jià)值。本文針對(duì)動(dòng)態(tài)心率測(cè)量模型、舒張壓測(cè)量模型和血液黏度測(cè)量模型的建模難度大,血氧飽和度測(cè)量模型定標(biāo)環(huán)境復(fù)雜等問題,進(jìn)行一系列的探索和研究。第一,選取523nm綠光、660nm紅光和810nm紅外的組合光譜作為探測(cè)光源,并在結(jié)構(gòu)設(shè)計(jì)中引入"目"型槽結(jié)構(gòu)消除環(huán)境光干擾,提高測(cè)量信號(hào)信噪比。將低功耗通信、微傳感器技術(shù),環(huán)境光學(xué)傳感器、低功耗控制處理器和藍(lán)牙模塊集成在腕表上,實(shí)現(xiàn)硬件層面的信號(hào)放大和濾波,完成測(cè)量系統(tǒng)的電路設(shè)計(jì)與實(shí)現(xiàn)。第二,在傳統(tǒng)廣義形態(tài)學(xué)去除基線漂移算法的基礎(chǔ)上進(jìn)行改進(jìn),實(shí)現(xiàn)一種簡(jiǎn)化的基線漂移去除算法,以犧牲部分精度為代價(jià)實(shí)現(xiàn)快速、低功耗的信號(hào)處理過程,運(yùn)算量降低了 4倍。第三,引入灰度預(yù)測(cè)GM(1,1)模型,對(duì)受到運(yùn)動(dòng)偽跡干擾導(dǎo)致失真的光電脈搏波信號(hào)進(jìn)行補(bǔ)償,結(jié)合加速度模型,建立動(dòng)態(tài)心率測(cè)量模型,經(jīng)過實(shí)驗(yàn)驗(yàn)證,94%以上的測(cè)量結(jié)果誤差范圍在+/-6之間;根據(jù)朗伯-比爾定律分析推導(dǎo)脈搏波形態(tài)特征和波形面積等參數(shù)與脈壓差(收縮壓-舒張壓)之間的關(guān)系,成功推導(dǎo)得到脈壓差的測(cè)量模型,間接實(shí)現(xiàn)舒張壓的連續(xù)測(cè)量,通過實(shí)驗(yàn)得到測(cè)量誤差在+/-10之間,符合美國(guó)醫(yī)療器械進(jìn)步協(xié)會(huì)(The Association for the Advancement of Medical Instrumentation,AAMI)的規(guī)定;通過收縮壓和舒張壓計(jì)算得到關(guān)鍵參數(shù)K,帶入經(jīng)驗(yàn)公式完成血液黏度的測(cè)量,以開放型醫(yī)學(xué)數(shù)據(jù)庫(kù)MIMIC(Multiparameter IntelligentMonitoringinIntensiveCare)Ⅱ中的記錄數(shù)據(jù)作為實(shí)驗(yàn)分析的對(duì)象,得到95%的測(cè)量值誤差落在+/-0.5以內(nèi);根據(jù)修正的血氧飽和度測(cè)量公式,對(duì)未知系數(shù)進(jìn)行定標(biāo),完成與定標(biāo)環(huán)境相似條件下的血氧濃度的連續(xù)測(cè)量模型,經(jīng)過實(shí)驗(yàn)驗(yàn)證得到測(cè)量結(jié)果的平均誤差為0.076%。最后,通過手持設(shè)備與云服務(wù)平臺(tái)建立聯(lián)系,采集并存儲(chǔ)多維度生理參數(shù)信息。不但實(shí)現(xiàn)生理參數(shù)的遠(yuǎn)程連續(xù)監(jiān)測(cè),而且為深度挖掘生理參數(shù)信息并實(shí)現(xiàn)健康趨勢(shì)分析提供基礎(chǔ)。
[Abstract]:Cardiovascular disease (Cardiovascular diseases, CVDs) is usually composed of heart, blood vessels and blood transport system abnormal cause, according to WHO (World Health Organization, WHO) data released in 2015, 31% of the world's people died from the disease, has been a serious threat to human health. To realize the dynamic monitoring of heart rate, blood pressure, blood oxygen and blood concentration the physiological parameters such as viscosity, diagnosis and treatment of cardiovascular diseases has a guiding role. The physiological parameters of the traditional measuring method due to poor portability and comfort and low measurement limit, can not meet the demand of continuous measurement. Human pulse wave is an important standard to judge whether a healthy cardiovascular system and the study of physiological parameters measurement models usually study in the pulse wave. In many measurement methods of pulse wave, the photoelectric measuring method to obtain the body volume pulse wave through specific spectrum measurement Good repeatability, high comfort, can realize continuous measurement. This paper focuses on the photoplethysmography (Photoplethysmography, PPG) was studied and the relationship between different physiological parameters, respectively. Heart rate, blood pressure, establish the corresponding measurement model of blood viscosity and oxygen saturation of four physiological parameters, the measurement results will be to watch show the form, has great academic significance and market value. In this paper the dynamic heart rate measurement model, the measurement model and the difficulty of modeling diastolic pressure and blood viscosity measurement model, oxygen saturation measurement problem of complex environment model, a series of exploration and research. First, select the 523nm green light spectrum combination 660nm red and 810nm infrared as the detection light source, and the introduction of "eye" type groove structure in the structural design to eliminate the interference of ambient light, increase the signal-to-noise ratio. The low power consumption. The letter, micro sensor technology, environmental optical sensors, low-power control processor and Bluetooth module integrated in watches, signal amplifying and filtering the hardware level, complete the circuit design and Realization of measurement system. In second, improvement in the traditional generalized morphology based algorithm to remove baseline drift, to achieve a simplified baseline drift the removal algorithm, to realize fast at the expense of accuracy, signal processing and low power consumption, the computation is decreased by 4 times. Third, the introduction of gray prediction GM (1,1) model, the motion artifacts caused by compensating the photoelectric pulse wave signal distortion, combined with the acceleration model, establish dynamic heart rate measurement model after experimental verification, measurement results more than 94% of the error in the range of +/-6; according to the Lambert Bill law analysis of pulse wave shape and wave area and the parameters such as pulse pressure (e.g. The systolic pressure and diastolic blood pressure) of the relationship between the pulse pressure measurement model is derived successfully obtained, indirect continuous measurement of diastolic blood pressure, measurement error between +/-10 through experiments, consistent with the United States Association of medical progress (The Association for the Advancement of Medical Instrumentation, AAMI) regulations; the systolic and diastolic blood pressure calculation get the key parameters of K, into the empirical formula of measurement of blood viscosity, with an open type medical database MIMIC (Multiparameter IntelligentMonitoringinIntensiveCare) in the recorded data as the object of experimental analysis, 95% measurement error falls within +/-0.5; according to the measurement of oxygen saturation formula, calibration of the unknown coefficient, continuous the measurement model and the calibration environment similar to the oxygen concentration conditions, the average error after experimental verification obtained measurement results For 0.076%., finally, through handheld devices and cloud service platform to establish links, collect and store multi-dimensional physiological parameter information. Not only achieve physiological parameters of remote continuous monitoring, but also provide a basis for deep excavation of physiological parameter information and health trend analysis.

【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：R318;TP274

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 顧景范;;《中國(guó)居民營(yíng)養(yǎng)與慢性病狀況報(bào)告(2015)》解讀[J];營(yíng)養(yǎng)學(xué)報(bào);2016年06期

2 李皙茹;許金林;李曉風(fēng);元沐南;譚海波;;一種基于綠光的可穿戴式光電容積脈搏波測(cè)量系統(tǒng)[J];現(xiàn)代電子技術(shù);2016年20期

3 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

4 李金樺;甄輝;黃海;姚劍;;基于BLE的Android心電監(jiān)護(hù)軟件[J];計(jì)算機(jī)與現(xiàn)代化;2016年04期

5 包科;顧亞雄;高俊;聶瓊;;基于脈搏波傳導(dǎo)時(shí)間的連續(xù)血壓測(cè)量系統(tǒng)[J];生物醫(yī)學(xué)工程研究;2016年01期

6 李剛;包磊;周梅;林凌;劉蕊;趙春杰;;一種測(cè)量動(dòng)脈血氧飽和度的新方法[J];光譜學(xué)與光譜分析;2016年01期

7 宋晉忠;嚴(yán)洪;宮國(guó)強(qiáng);張煜;曹中平;張琳;;用于心電信號(hào)采集的織物電極技術(shù)研究進(jìn)展[J];傳感器與微系統(tǒng);2015年10期

8 胡愛琴;袁洪福;宋春風(fēng);李效玉;;近紅外離散波長(zhǎng)光譜基線漂移校正方法研究[J];光譜學(xué)與光譜分析;2014年10期

9 林凌;李威;周梅;曾銳利;李剛;張寶菊;;EMD算法在動(dòng)態(tài)光譜無創(chuàng)測(cè)量血紅蛋白濃度中的應(yīng)用[J];光譜學(xué)與光譜分析;2014年08期

10 龐宇;鄧璐;林金朝;李章勇;周前能;李國(guó)權(quán);黃華偉;張懿;吳煒;;基于形態(tài)濾波的心電信號(hào)去除基線漂移方法[J];物理學(xué)報(bào);2014年09期

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