【摘要】：眩暈癥是一種多發(fā)病、常見病,涉及到多個(gè)學(xué)科,在我國,眩暈癥并不是為人所熱知的病癥,很多人也不重視該病。其實(shí)眩暈癥在人群中的發(fā)病率很高,而且年齡越大發(fā)病率越高,其中女性占大多數(shù)。眩暈癥的臨床表現(xiàn)為當(dāng)頭部運(yùn)動(dòng)到一定的位置便會(huì)出現(xiàn)相應(yīng)的病癥,并且患者會(huì)出現(xiàn)特征性的眼球震蕩的運(yùn)動(dòng),眼球震蕩的運(yùn)動(dòng)時(shí)間小于1min。醫(yī)療人員可以通過分析病人的眼球運(yùn)動(dòng),根據(jù)眼震的方向、強(qiáng)度、持續(xù)時(shí)間、速度、類型對病癥進(jìn)行診斷。 從眩暈癥診斷的現(xiàn)狀來講,眩暈癥的診斷及設(shè)備都還在發(fā)展與研究當(dāng)中,并不是十分的成熟�，F(xiàn)有的眩暈診斷系統(tǒng)都是大型設(shè)備,使用效果一般且價(jià)錢昂貴。隨著網(wǎng)絡(luò)的發(fā)展,遠(yuǎn)程醫(yī)療已經(jīng)是未來醫(yī)療發(fā)展的一大趨勢。針對現(xiàn)有設(shè)備的缺點(diǎn),依托于移動(dòng)互聯(lián)網(wǎng)技術(shù),圖像處理技術(shù)等,我們開發(fā)了基于移動(dòng)終端的眩暈診斷系統(tǒng)。 本文對系統(tǒng)開發(fā)過程中所用到的技術(shù)手段進(jìn)行了詳細(xì)的介紹,包括基于移動(dòng)端開發(fā)和服務(wù)器端用到的框架、開發(fā)工具、語言等。 在眩暈診斷系統(tǒng)中較為重要的一點(diǎn)是眼球運(yùn)動(dòng)的定位分析,本文介紹現(xiàn)有的與眼球定位相關(guān)的算法,分析了各個(gè)算法的方法及結(jié)果,其后分析了人眼圖像的特點(diǎn),采用了適合人眼檢測的算法并進(jìn)行了實(shí)驗(yàn)比對。 本文著重?cái)⑹隽苏麄�(gè)系統(tǒng)設(shè)計(jì)及實(shí)現(xiàn)的過程。移動(dòng)終端的主要功能包括有用戶頭部方位檢測、視頻錄取、與web service通信等。服務(wù)器端則包括有視頻處理程序,醫(yī)生診斷網(wǎng)頁平臺,文件系統(tǒng)等,采用的開發(fā)平臺都是目前的主流的開發(fā)平臺。 目前基于移動(dòng)終端的眩暈診斷系統(tǒng)在市場還是一個(gè)空白,因此該系統(tǒng)既能豐富眩暈診斷的設(shè)備市場,也能為醫(yī)生提供很好的實(shí)驗(yàn)平臺,為眩暈癥的研究工作帶來便利。
[Abstract]:Vertigo is a common disease, which involves many subjects. In our country, vertigo is not a well-known disease, and many people do not attach importance to it. The prevalence of vertigo is high in the population, and the higher the incidence of age, the majority of them are women. The clinical manifestation of vertigo is that when the head moves to a certain position, the corresponding symptoms will occur, and the patient will develop characteristic concussion movement, the movement time of eye concussion is less than 1 minute. By analyzing the patient's eye movements, the medical staff can diagnose the disease according to the direction, intensity, duration, speed, and type of nystagmus. From the current situation of vertigo diagnosis, the diagnosis and equipment of vertigo are still under development and research, not very mature. The existing vertigo diagnosis systems are large-scale equipment, generally effective and expensive. With the development of network, telemedicine is a trend of medical treatment in the future. In view of the shortcomings of the existing equipment, we developed a vertigo diagnosis system based on mobile terminal, relying on the mobile Internet technology, image processing technology and so on. In this paper, the technical methods used in the development of the system are introduced in detail, including the framework, development tools, language and so on, which are based on the development of the mobile side and the server side. The more important point in the vertigo diagnosis system is the localization analysis of eyeball movement. This paper introduces the existing algorithms related to eyeball localization, analyzes the methods and results of each algorithm, and then analyzes the characteristics of human eye image. An algorithm suitable for human eye detection is adopted and the experimental results are compared. This paper focuses on the design and implementation of the whole system. The main functions of mobile terminal include head orientation detection, video recording, communication with web service, etc. The server includes video processing program, doctor diagnosis web platform, file system and so on. The development platform used is the mainstream development platform at present. At present, the vertigo diagnosis system based on mobile terminal is still a blank in the market, so the system can not only enrich the equipment market of vertigo diagnosis, but also provide a good experimental platform for doctors, and bring convenience to the research work of vertigo.
【學(xué)位授予單位】：蘭州大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP311.52;R741

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