本文選題：心電監(jiān)護　切入點：終端　出處：《杭州電子科技大學》2017年碩士論文

【摘要】：近30年以來,我國經(jīng)濟發(fā)展迅速,人民生活水平得到極大的改善并開始逐步進入小康階段。隨著生活富裕起來廣大人民的生活節(jié)奏被加快,生活方式也與以往相差很大,其中包括生活規(guī)律、飲食規(guī)律、心理狀態(tài)等,然而這些改變導致了我國心臟類疾病的患病率和死亡率迅速上升。在經(jīng)濟快速發(fā)展的同時我國人口結構逐漸趨于老齡化,老人作為心臟類疾病的高發(fā)人群則進一步提高了心臟類疾病的發(fā)病率。同時作為青壯年面對日益增強的工作負擔與生活壓力,因心臟猝死的概率也呈上升化趨勢。以上這些都對人民的生命健康產生了極大的威脅,也讓家人甚至整個社會承擔著巨大的壓力。心電信號作為人體生物電信號的一種,它包含了大量可以體現(xiàn)心血管健康狀態(tài)的生理及病理信息,同時心電信號也能夠及時反映人體心臟的健康狀況。通過對心電信號的處理、分析能夠提前發(fā)現(xiàn)心臟類疾病的發(fā)病征兆,對心臟類疾病的防治及預防突發(fā)性心臟猝死具有積極意義。為了能夠高效、快速的采集、分析心電信號,本文在基于可穿戴心電監(jiān)護系統(tǒng)這一實驗室課題的基礎上,開發(fā)了該系統(tǒng)的終端軟件部分并對采集到終端設備上的心電數(shù)據(jù)進行深入分析與研究。相較于一般心電監(jiān)護系統(tǒng)的終端設計,本文開發(fā)的終端軟件進行了大量的創(chuàng)新性優(yōu)化與擴展,心電終端包括PC端心電軟件與移動端心電APP,通過兩者相結合的方式增加了系統(tǒng)適用于不同使用環(huán)境的可能性。PC端軟件采用具有優(yōu)良跨平臺特性的Qt應用架構進行編寫,主要負責心電信息的接收、存儲和分析。移動端心電APP在PC端軟件的功能基礎上結合自身強大的社交特性,增加了數(shù)據(jù)的第三方分享功能。在數(shù)據(jù)分析模塊,本文首先對心電信號的消噪算法進行研究,在此基礎上應用曲線的波峰波谷查找算法對心電波形的QRS波進行識別提取。最后將生物科學、計算機科學及其他知識進行結合,完成心電終端的心電圖顯示及心電的自動化診斷、智能化分析目標。測試結果表明,本文研究的心電終端系統(tǒng)能夠有效的接收心電數(shù)據(jù),并進行數(shù)據(jù)分析,實現(xiàn)了心電終端智能化目標。最終為用戶提供了合理的、具有針對性的健康生活提議。目前,該套系統(tǒng)已經(jīng)完成初步的測試,相信在一些細節(jié)被不斷的優(yōu)化后,系統(tǒng)將很快能夠投入使用,實現(xiàn)最終的產品化目標并帶來一定的社會及經(jīng)濟效益。
[Abstract]:In the past 30 years, China's economy has developed rapidly, the people's living standards have been greatly improved, and they have gradually entered the stage of well-off life. With the prosperity of life, the pace of life of the vast number of people has been accelerated, and the way of life is also very different from the past. These changes, however, have led to a rapid rise in the prevalence and mortality of heart diseases in China. With the rapid development of the economy, the population structure of our country is gradually aging. The elderly, as a high risk group of heart diseases, have further increased the incidence of heart diseases. As young adults, they are faced with increasing burden of work and pressure of life. The probability of sudden cardiac death is also on the rise. All of these have posed a great threat to the life and health of the people, and caused great pressure on the family and even the whole society. The ECG signal is one of the bioelectrical signals of the human body. It contains a large number of physiological and pathological information that can reflect the state of cardiovascular health, and ECG signals can also reflect the health of the human heart in time. Analysis can detect the symptoms of heart disease in advance, and has positive significance for the prevention and treatment of heart disease and the prevention of sudden cardiac sudden death. This paper is based on the wearable ECG monitoring system, which is a laboratory project. The terminal software of the system is developed, and the ECG data collected on the terminal equipment are analyzed and studied in depth. The terminal software developed in this paper is innovatively optimized and extended. ECG terminal includes PC end ECG software and mobile terminal ECG app. By combining the two methods, it increases the possibility that the system is suitable for different use environments. PC terminal software is written with QT application architecture with excellent cross-platform characteristics. Mainly responsible for receiving, storing and analyzing ECG information. Mobile ECG APP combines its powerful social characteristics with the function of PC software, and increases the function of data sharing by third party. In this paper, the de-noising algorithm of ECG signal is studied firstly, and then the QRS wave of ECG waveform is identified and extracted by using the algorithm of finding the peak and trough of the curve. Finally, the biological science, computer science and other knowledge are combined. The ECG display of ECG terminal and the automatic diagnosis of ECG are completed. The test results show that the ECG terminal system studied in this paper can receive and analyze the ECG data effectively. It has achieved the goal of intelligent ECG terminal. Finally, it has provided users with reasonable and targeted healthy life proposals. At present, the system has completed preliminary tests, and it is believed that after some details have been continuously optimized, The system will soon be put into use to achieve the final goal of production and bring certain social and economic benefits.
【學位授予單位】：杭州電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52;TP274

【參考文獻】

相關期刊論文 前10條

1 陳偉偉;邢辰;;中國心血管病報告2015[J];中華醫(yī)學信息導報;2016年12期

2 李開菊;鄭波盡;;淺談深度學習[J];軟件;2016年05期

3 潘俊蘭;;我國“看病難、看病貴”問題的根源探析[J];農村經(jīng)濟與科技;2016年08期

4 金榮華;陳琪鋒;謝傳芳;;有關移動互聯(lián)網(wǎng)終端技術的淺議[J];電子技術與軟件工程;2016年04期

5 王瓊;;差異化部局加快國產移動智能終端操作系統(tǒng)的發(fā)展[J];世界電信;2015年11期

6 姚文坡;毛靖寧;劉鐵兵;;心電圖機檢定中的工頻干擾及抑制方法[J];醫(yī)療衛(wèi)生裝備;2015年05期

7 Yan-yan SONG;Ying LU;;用于分類與預測的決策樹分析（英文）[J];上海精神醫(yī)學;2015年02期

8 金林鵬;董軍;;面向臨床心電圖分析的深層學習算法[J];中國科學:信息科學;2015年03期

9 金繁;崔培雷;;嵌入式Qt中信號與槽機制的研究[J];電子設計工程;2014年24期

10 劉勝洋;張根選;曹陽;;心電信號中的工頻干擾濾除方法[J];生物醫(yī)學工程學雜志;2014年03期

相關博士學位論文 前1條

1 董紅生;心電波形檢測與心率變異性分析方法研究[D];蘭州理工大學;2012年

相關碩士學位論文 前5條

1 李霞;Android虛擬機運行時技術的分析與評測[D];東南大學;2015年

2 石濤;基于Android系統(tǒng)智能手機的心電遠程監(jiān)護系統(tǒng)軟件設計[D];北京工業(yè)大學;2013年

3 汪志鋒;保險專業(yè)中介機構及高管人員信息管理系統(tǒng)的設計與實現(xiàn)[D];北京郵電大學;2011年

4 龔敏;基于小波變換的心電檢測及自診斷系統(tǒng)的設計[D];重慶大學;2009年

5 李兆良;老年人生活滿意度與心血管疾病的關系研究[D];吉林大學;2004年

，

本文編號：1687816