本文關(guān)鍵詞： Android 血氧飽和度 藍(lán)牙 移動(dòng)互聯(lián) 睡眠評(píng)估　出處：《華南理工大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：現(xiàn)代生活節(jié)奏加快,競(jìng)爭(zhēng)壓力日益增大,越來越多的人睡眠受到影響,迫切需要研究新方法和新技術(shù)以評(píng)估睡眠質(zhì)量好壞,輔以科學(xué)地指導(dǎo),這樣對(duì)改善睡眠質(zhì)量會(huì)有很大的幫助。目前評(píng)價(jià)睡眠質(zhì)量應(yīng)用的較多的是利用多導(dǎo)睡眠圖機(jī)監(jiān)測(cè)腦電圖、心電圖、肌電圖、血氧飽和度等10余個(gè)通道的生理信號(hào),通過對(duì)這些信號(hào)的分析來評(píng)估睡眠質(zhì)量;此外,通過睡眠質(zhì)量指數(shù)量表檢測(cè)也是睡眠評(píng)估的重要方法之一。本論文研究基于Android系統(tǒng)的睡眠質(zhì)量評(píng)估系統(tǒng),該系統(tǒng)實(shí)現(xiàn)了血氧飽和度信號(hào)的硬件采集模塊、手機(jī)端信號(hào)分析算法模塊及通信模塊,同時(shí)也在手機(jī)端植入了睡眠質(zhì)量指數(shù)量表輔助評(píng)價(jià)。血氧飽和度信號(hào)硬件采集模塊的實(shí)現(xiàn)。通過自己搭建模擬前端電路,包括探頭驅(qū)動(dòng)電路、前置放大電路、同反相放大及信號(hào)分離電路、自動(dòng)呢增益控制電路、低通電路等通過時(shí)序控制紅光及紅外光的發(fā)射。大量實(shí)驗(yàn)表明這兩種波長(zhǎng)的透射光強(qiáng)的比值,與脈搏血氧飽和度(SpO2)的值近似成線性,利用這一特性將檢測(cè)到的透射光強(qiáng)的比值轉(zhuǎn)換成我們需要的血氧飽和度的值。Android手機(jī)端信號(hào)的接收及信號(hào)分析算法的實(shí)現(xiàn)。在血氧參數(shù)采集模塊端增加藍(lán)牙傳輸模塊,將檢測(cè)端采集到的脈搏血氧飽和度等生理數(shù)據(jù)發(fā)送至Android系統(tǒng)智能手機(jī)端,智能手機(jī)端利用Android藍(lán)牙API開發(fā)類,對(duì)手機(jī)端藍(lán)牙實(shí)現(xiàn)打開藍(lán)牙、搜索附近藍(lán)牙設(shè)備等基本操作,實(shí)現(xiàn)數(shù)據(jù)傳輸,并在手機(jī)端顯示接收到的生理信息。然后根據(jù)接收到的脈搏血氧飽和度對(duì)睡眠障礙進(jìn)行評(píng)估,同時(shí)還利用多媒體化的睡眠質(zhì)量評(píng)估量表對(duì)睡眠質(zhì)量進(jìn)行評(píng)估。完成了生理參數(shù)的采集、傳輸及存儲(chǔ)功能,并利用采集到的生理參數(shù)對(duì)個(gè)人的健康狀況及睡眠質(zhì)量做出了一個(gè)科學(xué)的評(píng)估�；贖TTP和Socket技術(shù)的通信模塊的實(shí)現(xiàn)。建立手機(jī)與服務(wù)器間的通信,利用Tomcat技術(shù)構(gòu)建虛擬服務(wù)器,利用Servlet技術(shù)開發(fā)服務(wù)器數(shù)據(jù)通信方法,利用JDBC研究數(shù)據(jù)庫(kù)操作實(shí)現(xiàn),采用線程池的形式設(shè)計(jì)客戶端的并發(fā)連接。手機(jī)端通過HTTP和Socket技術(shù),實(shí)現(xiàn)與服務(wù)器的連接,將個(gè)人信息及測(cè)量結(jié)果上傳到服務(wù)器,以便做進(jìn)一步的分析。
[Abstract]:With the rapid pace of modern life and the increasing competitive pressure, more and more people are affected by sleep. It is urgent to study new methods and techniques to evaluate the quality of sleep and to be guided scientifically. This will be of great help in improving sleep quality. At present, the use of polysomnography to monitor the physiological signals of more than 10 channels, such as EEG, electrocardiogram, electromyogram, oxygen saturation and so on, has been used to evaluate the application of sleep quality. The analysis of these signals is used to evaluate the quality of sleep. In addition, the measurement of sleep quality index is also one of the important methods of sleep evaluation. In this paper, a sleep quality evaluation system based on Android system is studied. The system realizes the hardware acquisition module of the blood oxygen saturation signal, the signal analysis algorithm module and the communication module of the mobile phone. At the same time, the Sleep quality Index scale is also implanted in the mobile phone to assist the evaluation. The realization of the hardware acquisition module of the blood oxygen saturation signal. The analog front-end circuit is built by oneself, including the probe driving circuit and the preamplifier circuit. Inverse-phase amplification and signal separation circuits, automatic gain control circuits, low-pass circuits, etc. control the emission of infrared and infrared light by time series. A large number of experiments show the ratio of transmission intensity of these two wavelengths. It is approximately linear with the value of pulse oxygen saturation (SPO _ 2). The ratio of transmitted light intensity detected is converted to the value of oxygen saturation we need. The signal receiving and signal analysis algorithm of Android mobile phone is realized. Bluetooth transmission module is added at the end of blood oxygen parameter acquisition module. The physiological data such as pulse blood oxygen saturation collected at the detection end are sent to the smartphone side of the Android system. The smartphone terminal uses Android Bluetooth API to develop the class, to open Bluetooth to the mobile phone and to search the Bluetooth equipment nearby, and so on. Realize the data transmission and display the received physiological information on the mobile phone. Then evaluate the sleep disorder according to the received pulse oxygen saturation. At the same time, the sleep quality is evaluated by using the multi-media sleep quality evaluation scale. The collection, transmission and storage functions of physiological parameters are completed. A scientific evaluation of individual health and sleep quality is made by using the collected physiological parameters. The realization of communication module based on HTTP and Socket technology, the establishment of communication between mobile phone and server, and the construction of virtual server using Tomcat technology. The server data communication method is developed by Servlet technology, the database operation is studied by JDBC, the concurrent connection of client is designed in the form of thread pool, and the connection between mobile phone and server is realized through HTTP and Socket technology. Upload personal information and measurements to the server for further analysis.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：R740;TN929.53

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相關(guān)碩士學(xué)位論文 前1條

1 張彬;基于脈搏波的血氧飽和度檢測(cè)算法的研究[D];北京交通大學(xué);2009年

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本文編號(hào)：1498675