本文選題：血氧飽和度 + 智能終端��； 參考：《湘潭大學》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,其反應了人體的呼吸循環(huán)、心血管系統(tǒng)等生理狀況,在臨床救護中有著的重要地位。隨著老齡化加劇和電子信息技術的快速發(fā)展,越來越多的人選擇便攜式的可穿戴設備供老年人檢測血氧飽和度。然而普及這些可穿戴設備還存在一些問題,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,不利于攜帶。針對這些問題,本文研究了基于YUV光譜法的血氧飽和度測量方法,提出了基于亮度信號能量譜的血氧飽和度測量方法,實現(xiàn)了基于智能終端的血氧飽和度測量方法。主要成果如下:(1)對在混合光下測量血氧飽和度進行了理論分析。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,推導出基于U、V通道信號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)的理論結論,提出了基于YUV光譜的血氧飽和度測量方法,使用U、V通道的波谷及峰峰值為特征點,獲得光強的變化,進而求得血氧飽和度。該方法測量數(shù)據(jù)與專業(yè)設備測量數(shù)據(jù)進行對比,結果顯示準確性高,基本達到97%以上,驗證了該方法的有效性。(3)根據(jù)亮度信號曲線與血液中含氧量的強相關關系,本文提出了基于亮度信號能量譜的血氧飽和度參數(shù)回歸方法。根據(jù)心動周期中含氧血紅蛋白和血流容積之間的關系,與含氧變化量和血液色差變化的關系,本文采用當前心動周期的血流視頻中亮度信號的能量和亮度變化曲線的峰峰值為特征點,實時的計算出血氧飽和度。將該方法測量數(shù)據(jù)與專業(yè)設備測量數(shù)據(jù)進行對比,結果顯示該方法穩(wěn)定可靠。(4)結合基于YUV光譜法的血氧飽和度測量方法、基于亮度信號能量譜的血氧飽和度測量方法與智能手機,設計并實現(xiàn)了血氧飽和度檢測系統(tǒng),使得智能手機能夠實時連續(xù)的測量出人體血氧飽和度值。另外血氧飽和度檢測引擎中的核心算法能夠跨平臺使用,目前已在Android平臺和iOS平臺調用。此系統(tǒng)模塊劃分明確,并且把血氧飽和度檢測引擎進行封裝,可供第三方調用,并已經通過大量測試驗證了該系統(tǒng)的實用性及準確度。
[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.
【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R443;TN911.6

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