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基于GPRS的遠(yuǎn)程實(shí)時(shí)心電監(jiān)測系統(tǒng)研究

發(fā)布時(shí)間:2018-05-17 13:48

  本文選題:GPRS + 心電; 參考:《山東大學(xué)》2012年碩士論文


【摘要】:隨著社會(huì)的發(fā)展,人們對自身健康開始越來越關(guān)注,各種老年患者、慢性病、急癥患者,都需要一種可以持續(xù)監(jiān)測患者重要生理參數(shù)信息,隨時(shí)隨地進(jìn)行醫(yī)患交流的平臺(tái)。隨著現(xiàn)代通信技術(shù)的發(fā)展,特別是移動(dòng)通信以及互聯(lián)網(wǎng)技術(shù)的普及,遠(yuǎn)程心電監(jiān)護(hù)已經(jīng)開始展現(xiàn)越來越強(qiáng)大的吸引力。面向家庭和個(gè)人,而又能及時(shí)與醫(yī)院進(jìn)行信息溝通和交流,以預(yù)防和診斷為主的心電監(jiān)護(hù)系統(tǒng)具有很強(qiáng)的現(xiàn)實(shí)意義。 本文在實(shí)驗(yàn)室項(xiàng)目基礎(chǔ)上研究和設(shè)計(jì)了一套基于GPRS的遠(yuǎn)程實(shí)時(shí)心電檢測系統(tǒng)。本系統(tǒng)可以將心電監(jiān)護(hù)終端設(shè)備用戶信息和實(shí)時(shí)采集到的心電數(shù)據(jù)通過GPRS網(wǎng)絡(luò)傳輸?shù)奖O(jiān)護(hù)中心工作站,通過監(jiān)護(hù)中心分析和管理采集到的心電數(shù)據(jù),輔助醫(yī)生對患者當(dāng)前心臟功能狀態(tài)進(jìn)行監(jiān)控和分析。本文中完成的主要工作: 首先,本文介紹了遠(yuǎn)程心電監(jiān)護(hù)的研究背景和意義,綜述了當(dāng)前遠(yuǎn)程心電監(jiān)護(hù)的現(xiàn)狀。給出了本系統(tǒng)的總體構(gòu)架思想和組成模塊。 第二,分析利用GPRS方式進(jìn)行短信息發(fā)送和無線數(shù)據(jù)傳輸過程中協(xié)議的實(shí)現(xiàn)原理,制定了心電數(shù)據(jù)無線傳輸?shù)木幋a格式,完成用戶數(shù)據(jù)和心電波形數(shù)據(jù)無線傳輸,實(shí)現(xiàn)用戶終端和監(jiān)護(hù)中心之間的可靠數(shù)據(jù)通信。 第三,完成監(jiān)護(hù)中心工作站的設(shè)計(jì)與開發(fā)。實(shí)現(xiàn)監(jiān)護(hù)中心四個(gè)基本模塊:數(shù)據(jù)收發(fā),用戶工作界面,心電自動(dòng)分析和心電數(shù)據(jù)管理。 第四,采用小波分析的方法對接收到的心電數(shù)據(jù)進(jìn)行去噪處理和特征提取。去噪小波基采用Daubechies小波,通過小波分解重構(gòu)法,對噪聲所在尺度小波系數(shù)進(jìn)行軟閾值去噪,實(shí)現(xiàn)噪聲和漂移的去除。心電波形的特征提取,通過不同尺度Mexican-Hat小波分解方法對R波和Q波、S波、QRS起始位置以及P波、T波進(jìn)行定位。并通過MIT-BIH實(shí)際測試,結(jié)果表明識別定位算法效果良好,基本達(dá)到設(shè)計(jì)要求。 最后,對論文所做的工作進(jìn)行系統(tǒng)總結(jié),指出了下一步的研究方向。
[Abstract]:With the development of society, people begin to pay more and more attention to their own health. All kinds of elderly patients, chronic diseases and emergency patients need a kind of platform which can continuously monitor the important physiological parameters of patients and communicate between doctors and patients anytime and anywhere. With the development of modern communication technology, especially the popularity of mobile communication and Internet technology, remote ECG monitoring has begun to show more and more powerful attraction. The ECG monitoring system which is oriented to families and individuals and can communicate and communicate with hospitals in time is of great practical significance. In this paper, a remote real-time ECG detection system based on GPRS is studied and designed on the basis of laboratory project. The system can transmit the user information of ECG monitoring terminal equipment and the ECG data collected in real time to the monitoring center workstation through the GPRS network, and analyze and manage the collected ECG data through the monitoring center. Assist the physician to monitor and analyze the current state of the patient's heart function. The main work accomplished in this paper is as follows: Firstly, this paper introduces the research background and significance of remote ECG monitoring, and summarizes the current situation of remote ECG monitoring. The overall framework and module of the system are given. Secondly, the realization principle of short message transmission and wireless data transmission using GPRS is analyzed, and the coding format of wireless transmission of ECG data is established to complete wireless transmission of user data and ECG waveform data. The reliable data communication between user terminal and monitoring center is realized. Third, complete the design and development of the monitoring center workstation. The realization of four basic modules of monitoring center: data transceiver, user interface, ECG automatic analysis and ECG data management. Fourthly, the received ECG data are de-noised and feature extracted by wavelet analysis. The wavelet basis of denoising is based on Daubechies wavelet. The wavelet coefficients of the scale of noise are de-noised by soft threshold through wavelet decomposition and reconstruction method, and the noise and drift are removed. The characteristic of ECG waveform is extracted, and the initial position of R wave and Q wave S wave and P wave T wave are located by Mexican-Hat wavelet decomposition with different scales. The results of MIT-BIH test show that the algorithm is effective and meets the design requirements. Finally, the work done in this paper is systematically summarized, and the next research direction is pointed out.
【學(xué)位授予單位】:山東大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:R318.6

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前3條

1 羅小剛;心電信號處理和特征信息提取方法的研究及心電工作站的研制[D];重慶大學(xué);2003年

2 朱凌云;移動(dòng)心電監(jiān)護(hù)系統(tǒng)ECG信號的智能檢測與分析方法研究[D];重慶大學(xué);2003年

3 蘇麗;遠(yuǎn)程心電監(jiān)護(hù)診斷系統(tǒng)心電信號處理方法研究[D];哈爾濱工程大學(xué);2006年

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本文編號:1901617

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