本文關鍵詞： Android 血氧飽和度 藍牙 移動互聯(lián) 睡眠評估　出處：《華南理工大學》2014年碩士論文　論文類型：學位論文

【摘要】：現(xiàn)代生活節(jié)奏加快,競爭壓力日益增大,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以評估睡眠質(zhì)量好壞,輔以科學地指導,這樣對改善睡眠質(zhì)量會有很大的幫助。目前評價睡眠質(zhì)量應用的較多的是利用多導睡眠圖機監(jiān)測腦電圖、心電圖、肌電圖、血氧飽和度等10余個通道的生理信號,通過對這些信號的分析來評估睡眠質(zhì)量;此外,通過睡眠質(zhì)量指數(shù)量表檢測也是睡眠評估的重要方法之一。本論文研究基于Android系統(tǒng)的睡眠質(zhì)量評估系統(tǒng),該系統(tǒng)實現(xiàn)了血氧飽和度信號的硬件采集模塊、手機端信號分析算法模塊及通信模塊,同時也在手機端植入了睡眠質(zhì)量指數(shù)量表輔助評價。血氧飽和度信號硬件采集模塊的實現(xiàn)。通過自己搭建模擬前端電路,包括探頭驅(qū)動電路、前置放大電路、同反相放大及信號分離電路、自動呢增益控制電路、低通電路等通過時序控制紅光及紅外光的發(fā)射。大量實驗表明這兩種波長的透射光強的比值,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到的透射光強的比值轉換成我們需要的血氧飽和度的值。Android手機端信號的接收及信號分析算法的實現(xiàn)。在血氧參數(shù)采集模塊端增加藍牙傳輸模塊,將檢測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)智能手機端,智能手機端利用Android藍牙API開發(fā)類,對手機端藍牙實現(xiàn)打開藍牙、搜索附近藍牙設備等基本操作,實現(xiàn)數(shù)據(jù)傳輸,并在手機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睡眠障礙進行評估,同時還利用多媒體化的睡眠質(zhì)量評估量表對睡眠質(zhì)量進行評估。完成了生理參數(shù)的采集、傳輸及存儲功能,并利用采集到的生理參數(shù)對個人的健康狀況及睡眠質(zhì)量做出了一個科學的評估�；贖TTP和Socket技術的通信模塊的實現(xiàn)。建立手機與服務器間的通信,利用Tomcat技術構建虛擬服務器,利用Servlet技術開發(fā)服務器數(shù)據(jù)通信方法,利用JDBC研究數(shù)據(jù)庫操作實現(xiàn),采用線程池的形式設計客戶端的并發(fā)連接。手機端通過HTTP和Socket技術,實現(xiàn)與服務器的連接,將個人信息及測量結果上傳到服務器,以便做進一步的分析。
[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.
【學位授予單位】：華南理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：R740;TN929.53

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相關碩士學位論文 前1條

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

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本文編號：1498675