本文關(guān)鍵詞： 乳腺癌 REIS 智能胸衣 可穿戴式 移動(dòng)終端　出處：《杭州電子科技大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：乳腺癌是女性中發(fā)病率最高的惡性腫瘤,并且乳腺癌患者趨于年輕化。調(diào)查數(shù)據(jù)表明,首次經(jīng)醫(yī)院檢查確診已病變?yōu)槿橄侔┑幕颊咧杏写蠹s63.6%處于中晚期,導(dǎo)致治療延誤,影響乳腺癌患者的存活率。目前,早發(fā)現(xiàn)、早診斷、早治療的“三早”治療手段被公認(rèn)為乳腺癌治療最有效的方法,且相關(guān)領(lǐng)域的專家也建議女性應(yīng)堅(jiān)持每月做一次乳房自我檢查。然而日常自查對(duì)于普通女性來說,由于缺乏專業(yè)知識(shí),存在較大的不確定性,難以達(dá)到預(yù)期效果,仍需有效的儀器檢測。但現(xiàn)有的鉬靶、超聲、MRI等檢測方法不僅存在對(duì)人體有害或費(fèi)用昂貴等不足,而且均需要去醫(yī)院就診,并不適合日常自查。因此,開發(fā)一套可以協(xié)助女性自查的便攜設(shè)備是有必要的。本研究內(nèi)容更針對(duì)這一問題,基于共振頻率的電阻抗頻譜(REIS)技術(shù),設(shè)計(jì)并開發(fā)了一款用于乳腺癌早期風(fēng)險(xiǎn)監(jiān)測的可穿戴系統(tǒng)。前期我們已經(jīng)完成基于REIS技術(shù)的乳腺癌臨床檢測儀器,并在臨床測試中取得了良好的效果。本文面向REIS技術(shù)的可穿戴式應(yīng)用進(jìn)行了設(shè)計(jì),實(shí)現(xiàn)乳腺癌早期風(fēng)險(xiǎn)監(jiān)測的可穿戴系統(tǒng)。系統(tǒng)主要分為智能胸衣、移動(dòng)終端、云服務(wù)器三個(gè)部分。智能胸衣是系統(tǒng)的檢測部分,內(nèi)部集成了電極傳感器,利用REIS技術(shù)原理采集乳房的阻抗數(shù)據(jù)。移動(dòng)終端是系統(tǒng)的人機(jī)交互部分,不僅可以連接控制智能胸衣;還擁有可以提示相關(guān)信息,反映當(dāng)前測量狀態(tài)的界面;更能上傳測量數(shù)據(jù)。云服務(wù)器是系統(tǒng)的后臺(tái)服務(wù)部分,可以為用戶提供風(fēng)險(xiǎn)值計(jì)算和數(shù)據(jù)存儲(chǔ)服務(wù),保存用戶每次的測量數(shù)據(jù)。經(jīng)過不斷的調(diào)試與優(yōu)化,本文研究開發(fā)的系統(tǒng)基本實(shí)現(xiàn)了預(yù)期目標(biāo),完成了各部分的功能。智能胸衣可以很好地采集到乳腺數(shù)據(jù),并傳輸給手機(jī);移動(dòng)終端使用簡單、清晰、明了,可以連接胸衣和服務(wù)器,顯示并控制整個(gè)測量流程;云服務(wù)器實(shí)時(shí)監(jiān)聽客戶端的請求,接受并存儲(chǔ)用戶數(shù)據(jù),計(jì)算并返回風(fēng)險(xiǎn)值。調(diào)試過程中,系統(tǒng)先后進(jìn)行了模擬測試和實(shí)體測試,驗(yàn)證胸衣的數(shù)據(jù)采集功能。模擬測試中,系統(tǒng)重復(fù)測試穩(wěn)定的物理電容,發(fā)現(xiàn)每次測的共振頻率誤差均未超過2%,系統(tǒng)穩(wěn)定性良好。在醫(yī)院初步的實(shí)體測試中,測量的乳房數(shù)據(jù)對(duì)被測對(duì)象的異常情況有明顯反應(yīng)。本文最后就系統(tǒng)實(shí)現(xiàn)可穿戴存在的問題和解決方案進(jìn)行了分析,為系統(tǒng)進(jìn)一步優(yōu)化明確了方向,使系統(tǒng)可以更快地推廣應(yīng)用,協(xié)助女性自查,為系統(tǒng)在乳腺癌早期風(fēng)險(xiǎn)監(jiān)測中發(fā)揮作用奠定了基礎(chǔ)。
[Abstract]:Breast cancer has the highest incidence of malignant tumors among women, and breast cancer patients tend to be younger. Survey data show that about 63.6% of the patients who have been diagnosed with breast cancer for the first time after hospital examination are in advanced stages, leading to delays in treatment. Affects the survival rate of breast cancer patients. At present, early detection, early diagnosis and early treatment are recognized as the most effective methods for breast cancer treatment. Experts in related fields also suggest that women should do breast self-examination once a month. However, for ordinary women, due to lack of professional knowledge and greater uncertainty, it is difficult to achieve the desired results. But the existing methods, such as molybdenum target, ultrasonic MRI and so on, are not only harmful to human body or expensive, but also need to go to hospital, so they are not suitable for daily self-examination. It is necessary to develop a portable device that can assist women in self-examination. A wearable system for early breast cancer risk monitoring has been designed and developed. The wearable application of REIS technology is designed to realize the wearable system of early breast cancer risk monitoring. The system is mainly divided into intelligent corset, mobile terminal, and so on. The intelligent corset is the detection part of the system, the electrode sensor is integrated inside, and the impedance data of the breast is collected by using the principle of REIS. The mobile terminal is the human-computer interaction part of the system. Not only can you connect and control the smart bra, but you also have an interface that prompts information about the current measurement status, and uploads measurement data. The cloud server is the backstage service of the system. It can provide users with risk value calculation and data storage services, and save the measured data of users every time. After continuous debugging and optimization, the system studied and developed in this paper has basically achieved the expected goals. The smart corset can collect breast data and transmit to the mobile phone, the mobile terminal is simple, clear and clear, it can connect the corset and server, and display and control the whole measurement process. The cloud server listens to the client's request in real time, accepts and stores the user's data, calculates and returns the risk value. During the debugging process, the system successively carries on the simulation test and the entity test, verifies the corset's data collection function. The system repeatedly tested the stable physical capacitance and found that the resonance frequency error of each measurement was not more than 2 and the system was stable. The measured breast data have obvious response to the abnormal situation of the object under test. Finally, this paper analyzes the problems and solutions to the wearability of the system, and defines the direction for further optimization of the system. The system can be popularized and applied more quickly, and it can help women to check themselves. It lays the foundation for the system to play a role in early breast cancer risk monitoring.
【學(xué)位授予單位】：杭州電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：R737.9;TP368.33

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 屈峰;王旭輝;謝愛榮;;可穿戴設(shè)備及其應(yīng)用概述[J];科技廣場;2015年05期

2 謝俊祥;;遠(yuǎn)程醫(yī)療及其發(fā)展[J];中國醫(yī)療器械信息;2015年03期

3 章勇;肖炳甲;;實(shí)時(shí)數(shù)據(jù)分片存儲(chǔ)模式的研究[J];計(jì)算機(jī)測量與控制;2013年12期

4 宋素榮;;基于TCP的Java Socket通信技術(shù)[J];科技創(chuàng)新導(dǎo)報(bào);2012年13期

5 陳杰;;智能傳感器平均濾波方法改進(jìn)[J];武漢工程大學(xué)學(xué)報(bào);2010年12期

6 殷成方;鄔昌峰;;多芯電纜耦合性能測試分析[J];中國制造業(yè)信息化;2008年19期

7 徐剛;;Matlab與Visual C++集成技術(shù)研究[J];電腦知識(shí)與技術(shù)(學(xué)術(shù)交流);2007年22期

8 李紅;使用PROTEL 99SE進(jìn)行PCB設(shè)計(jì)的主要流程[J];現(xiàn)代電子技術(shù);2001年07期

9 曹澤群;應(yīng)用電腦紅外光掃描診斷乳腺癌[J];江西醫(yī)學(xué)院學(xué)報(bào);2000年03期

相關(guān)博士學(xué)位論文 前1條

1 劉麗媛;女性乳腺癌危險(xiǎn)因素及風(fēng)險(xiǎn)評(píng)估模型的流行病學(xué)研究[D];山東大學(xué);2015年

相關(guān)碩士學(xué)位論文 前5條

1 林興建;基于REIS的乳腺癌早期風(fēng)險(xiǎn)評(píng)估系統(tǒng)研究與開發(fā)[D];杭州電子科技大學(xué);2015年

2 褚典;基于SIP和RTP/RTCP協(xié)議的視頻監(jiān)控系統(tǒng)的研究與實(shí)現(xiàn)[D];電子科技大學(xué);2014年

3 劉曉娟;基于REIS的生物電阻抗特性檢測方法與系統(tǒng)設(shè)計(jì)研究[D];杭州電子科技大學(xué);2014年

4 張娜;Android系統(tǒng)架構(gòu)研究與應(yīng)用[D];西安科技大學(xué);2013年

5 劉蒙;基于電阻抗斷層成像的一維信息提取與分析[D];第四軍醫(yī)大學(xué);2010年

，

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