本文選題：血氧飽和度 + 智能終端　； 參考：《湘潭大學(xué)》2017年碩士論文

【摘要】：血氧飽和度是人體的重要生命體征指標(biāo),其反應(yīng)了人體的呼吸循環(huán)、心血管系統(tǒng)等生理狀況,在臨床救護(hù)中有著的重要地位。隨著老齡化加劇和電子信息技術(shù)的快速發(fā)展,越來(lái)越多的人選擇便攜式的可穿戴設(shè)備供老年人檢測(cè)血氧飽和度。然而普及這些可穿戴設(shè)備還存在一些問(wèn)題,成本高,普通家庭難以支付;操作繁瑣,不便于老年人使用;存在感較強(qiáng),不利于攜帶。針對(duì)這些問(wèn)題,本文研究了基于YUV光譜法的血氧飽和度測(cè)量方法,提出了基于亮度信號(hào)能量譜的血氧飽和度測(cè)量方法,實(shí)現(xiàn)了基于智能終端的血氧飽和度測(cè)量方法。主要成果如下:(1)對(duì)在混合光下測(cè)量血氧飽和度進(jìn)行了理論分析。以含氧血紅蛋白濃度和還原血紅蛋白濃度為變化量,使用YUV視頻中的U、V通道信號(hào),推導(dǎo)出基于U、V通道信號(hào)映射氧合血紅蛋白和還原血紅蛋白的變化的理論方法。(2)根據(jù)(1)的理論結(jié)論,提出了基于YUV光譜的血氧飽和度測(cè)量方法,使用U、V通道的波谷及峰峰值為特征點(diǎn),獲得光強(qiáng)的變化,進(jìn)而求得血氧飽和度。該方法測(cè)量數(shù)據(jù)與專(zhuān)業(yè)設(shè)備測(cè)量數(shù)據(jù)進(jìn)行對(duì)比,結(jié)果顯示準(zhǔn)確性高,基本達(dá)到97%以上,驗(yàn)證了該方法的有效性。(3)根據(jù)亮度信號(hào)曲線(xiàn)與血液中含氧量的強(qiáng)相關(guān)關(guān)系,本文提出了基于亮度信號(hào)能量譜的血氧飽和度參數(shù)回歸方法。根據(jù)心動(dòng)周期中含氧血紅蛋白和血流容積之間的關(guān)系,與含氧變化量和血液色差變化的關(guān)系,本文采用當(dāng)前心動(dòng)周期的血流視頻中亮度信號(hào)的能量和亮度變化曲線(xiàn)的峰峰值為特征點(diǎn),實(shí)時(shí)的計(jì)算出血氧飽和度。將該方法測(cè)量數(shù)據(jù)與專(zhuān)業(yè)設(shè)備測(cè)量數(shù)據(jù)進(jìn)行對(duì)比,結(jié)果顯示該方法穩(wěn)定可靠。(4)結(jié)合基于YUV光譜法的血氧飽和度測(cè)量方法、基于亮度信號(hào)能量譜的血氧飽和度測(cè)量方法與智能手機(jī),設(shè)計(jì)并實(shí)現(xiàn)了血氧飽和度檢測(cè)系統(tǒng),使得智能手機(jī)能夠?qū)崟r(shí)連續(xù)的測(cè)量出人體血氧飽和度值。另外血氧飽和度檢測(cè)引擎中的核心算法能夠跨平臺(tái)使用,目前已在A(yíng)ndroid平臺(tái)和iOS平臺(tái)調(diào)用。此系統(tǒng)模塊劃分明確,并且把血氧飽和度檢測(cè)引擎進(jìn)行封裝,可供第三方調(diào)用,并已經(jīng)通過(guò)大量測(cè)試驗(yàn)證了該系統(tǒng)的實(shí)用性及準(zhǔn)確度。
[Abstract]:Oxygen saturation is an important index of vital signs of human body, which reflects the physiological conditions of human body, such as respiration and circulation, cardiovascular system and so on, and plays an important role in clinical rescue. With the aggravation of aging and the rapid development of electronic information technology, more and more people choose portable wearable devices to detect oxygen saturation in the elderly. However, there are still some problems in popularizing these wearable devices, such as high cost, difficult for ordinary families to pay, cumbersome operation, inconvenient for the elderly to use, and strong sense of existence, which is not conducive to carrying. In order to solve these problems, this paper studies the measurement method of blood oxygen saturation based on YUV spectrum, proposes a method of measuring oxygen saturation based on luminance signal energy spectrum, and realizes the measurement method of blood oxygen saturation based on intelligent terminal. The main results are as follows: 1) the measurement of oxygen saturation in mixed light is theoretically analyzed. With the concentration of oxygenated hemoglobin and the concentration of reductive hemoglobin as the variable, the UGV channel signal in YUV video was used. The theoretical method of mapping the changes of oxygenated hemoglobin and reductive hemoglobin based on UGV channel signal is derived. According to the theoretical conclusion, a method of measuring oxygen saturation based on YUV spectrum is proposed. The variation of light intensity is obtained by using the peak and trough of the UGV channel as the characteristic points, and the saturation of oxygen is obtained. Compared with the measured data of professional equipment, the method has a high accuracy of over 97%. The validity of the method is verified by the strong correlation between the luminance signal curve and the oxygen content in the blood. In this paper, a regression method of oxygen saturation parameters based on luminance signal energy spectrum is proposed. According to the relationship between oxygenated hemoglobin and blood flow volume in cardiac cycle, and the change of oxygen content and color difference of blood, In this paper, the peak and peak of the luminance signal energy and luminance change curve in the blood flow video of the current cardiac cycle are used as the characteristic points to calculate the oxygen saturation of the bleeding in real time. The results show that the method is stable and reliable. It is combined with the method of measuring oxygen saturation based on YUV spectroscopy. The measurement method of blood oxygen saturation based on luminance signal energy spectrum and the smart phone are designed and implemented, which enables the smart phone to measure the human blood oxygen saturation in real time and continuously. In addition, the core algorithms in the oxygen saturation detection engine can be used across platforms, which have been called on Android and iOS platforms. The system module is clearly partitioned and encapsulated by the oxygen saturation detection engine, which can be called by a third party, and the practicability and accuracy of the system have been verified by a large number of tests.
【學(xué)位授予單位】：湘潭大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：R443;TN911.6

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