基于LABVIEW的人體心率變異分析測(cè)量

電子機(jī)電論文編號(hào):JD593 附外文翻譯,論文字?jǐn)?shù):19896,頁(yè)數(shù):30

目    錄

引言…………………………………………………………………………1
1  緒論………………………………………………………………………2
1.1 本課題研究的意義……………………………………………………2
1.2 國(guó)內(nèi)外研究狀況……………………………………………………………3
1.3 本論文的目的和研究?jī)?nèi)容……………………………………………………4
1.3.1本文的目的…………………………………………………………………4
1.3.2本文研究?jī)?nèi)容……………………………………………………………4
2  系統(tǒng)結(jié)構(gòu)和功能……………………………………………………………5
2.1 系統(tǒng)結(jié)構(gòu)……………………………………………………………………5
2.2 心率變異傳感器……………………………………………………………5
2.2 數(shù)據(jù)采集卡…………………………………………………………………5
2.3系統(tǒng)功能……………………………………………………………………6
3  虛擬儀器技術(shù)……………………………………………………………6
3.1 概述…………………………………………………………………………6
3.2虛擬儀器結(jié)構(gòu)和功能………………………………………………………7
3.3 虛擬儀器的開發(fā)平臺(tái)LabVIEW……………………………………………8
3.3.1LabVIEW的主要功能………………………………………………………8
3.3.2 LabVIEW的編程方法…………………………………………………………9
3.4 采用虛擬儀器技術(shù)的意義……………………………………………………9
4  心率變異信號(hào)的分析………………………………………………………9
4.1 心電信號(hào)簡(jiǎn)介………………………………………………………………9
4.2 心率變異信號(hào)的獲取………………………………………………………10
4.3 HRV信號(hào)時(shí)域分析…………………………………………………………11
4.4 HRV信號(hào)頻譜分析…………………………………………………………13
4.4.1譜分析方法簡(jiǎn)介…………………………………………………………13
4.4.2AR模型及其功率譜………………………………………………………13
4.4.3AR模型參數(shù)的確定………………………………………………………14
4.4.4AR模型階數(shù)的確定………………………………………………………14
4.4.5頻率分辨率的研究………………………………………………………15
4.5 心率變異信號(hào)功率譜分析…………………………………………………16
4.6 HRV信號(hào)非線性動(dòng)力學(xué)分析………………………………………………17
4.6.1非線性分析基本概念……………………………………………………17
4.6.2HRV信號(hào)混沌參數(shù)指標(biāo)的實(shí)現(xiàn)………………………………………………18
4.7 小結(jié)……………………………………………………………………19
5  LabVIEW在人體心率變異監(jiān)測(cè)系統(tǒng)中的應(yīng)用………………………19
5.1 數(shù)據(jù)采集…………………………………………………………………19
5.2 文件的存儲(chǔ)………………………………………………………………20
5.3 系統(tǒng)功能的實(shí)現(xiàn)…………………………………………………………20
5.3.1軟件設(shè)計(jì)………………………………………………………………20
5.3.2程序功能實(shí)現(xiàn)…………………………………………………………22
5.4 試驗(yàn)結(jié)果………………………………………………………………25
6  結(jié)論……………………………………………………………………26
謝辭……………………………………………………………………27
參考文獻(xiàn)…………………………………………………………………28
附錄…………………………………………………………………………29

摘  要

隨著科學(xué)技術(shù)的發(fā)展，工業(yè)的自動(dòng)化，人們?cè)絹?lái)越關(guān)心人與工作環(huán)境之間的相互影響問題，如何深入準(zhǔn)確的評(píng)價(jià)環(huán)境因素對(duì)工作人員的影響，已成為現(xiàn)在研究的主要課題之一。由于心率變異（HRV）蘊(yùn)涵著心血管神經(jīng)及體液調(diào)節(jié)的大量信息。心率變異性分析是近年來(lái)心電信號(hào)處理領(lǐng)域的研究熱點(diǎn)，它對(duì)于相關(guān)疾病的無(wú)創(chuàng)檢測(cè)具有重要的臨床意義。30年來(lái)隨著儀器設(shè)備的軟硬件改進(jìn)及臨床的廣泛應(yīng)用，HRV監(jiān)測(cè)的價(jià)值越來(lái)越受到國(guó)內(nèi)外學(xué)者的重視。本文從“軟件即是儀器”的思想出發(fā)，設(shè)計(jì)了基于虛擬儀器的人體心率變異監(jiān)測(cè)系統(tǒng)。系統(tǒng)運(yùn)用虛擬儀器應(yīng)用軟件強(qiáng)大的功能對(duì)三個(gè)連續(xù)階段的心率變異信號(hào)進(jìn)行實(shí)時(shí)采集、在線分析任務(wù)，同時(shí)系統(tǒng)具有較強(qiáng)的可擴(kuò)展性和靈活性。本課題主要完成平臺(tái)的系統(tǒng)硬件組成，實(shí)現(xiàn)軟硬件結(jié)合的各項(xiàng)功能，即實(shí)現(xiàn)心率變異信號(hào)檢測(cè)、采集、存儲(chǔ)、分析。對(duì)心率變異進(jìn)行時(shí)域分析和AR模型的頻域分析，從中提取有用的神經(jīng)信息，應(yīng)用于心血管疾病臨床診斷。
在課題的實(shí)現(xiàn)中，首先對(duì)虛擬儀器(Virtual Instrumentation，VI)的結(jié)構(gòu)、功能、意義作了詳細(xì)的介紹和分析。在此基礎(chǔ)上，研究了本系統(tǒng)軟、硬件的設(shè)計(jì)和實(shí)現(xiàn)方法，其中軟件的設(shè)計(jì)和實(shí)現(xiàn)起到了關(guān)鍵的作用。系統(tǒng)硬件采用技術(shù)很成熟的電子產(chǎn)品，使得系統(tǒng)結(jié)構(gòu)簡(jiǎn)單，系統(tǒng)性能高。整個(gè)系統(tǒng)結(jié)構(gòu)由心率變異傳感器、數(shù)據(jù)采集卡、計(jì)算機(jī)（相應(yīng)的軟件）構(gòu)成。然后，對(duì)心率變異信號(hào)進(jìn)行時(shí)域分析、譜分析和混沌分析。最后基于軟件在虛擬儀器技術(shù)中的重要性，從面向?qū)ο蠓椒ǖ慕嵌葋?lái)設(shè)計(jì)和實(shí)現(xiàn)了軟件的各項(xiàng)功能。整個(gè)軟件的功能包括心率變異信號(hào)的實(shí)時(shí)采集，信號(hào)存儲(chǔ)，信號(hào)時(shí)域、頻域分析。
關(guān)鍵詞：虛擬儀器；數(shù)據(jù)采集；心率變異性；AR模型
Abstract

With the development of science and technology, industry automation, people more and more concern with the mutual influence question between human and working environment.  How to thorough accurately assess the impact of environmental factors on the staffs, has now become one of the main topics studies. Heart rate variability (HRV) is containing massive information of the cardiovascular nerve and the body fluid adjustment. In recent years, the heart rate variability analysis is a research hot spot on the heart electrical signal processing domain. It has the vital clinical significance for the not-created examination of correlation disease. For 30 years, along with the improvement of instrumentation equipment software and hardware and the clinical widespread application, the domestic and foreign scholars more and more value the HRV monitor. With the thought “the software is the instrument”, this article has designed the human heart rate variability monitor system base on the virtual instrument. The system uses the power function of virtual instrument’s application software, and completes real-time acquisition, the online analysis duty to three continual stage’s heart rate variability signals. The system platform has the strong extendibility and the flexibility. This topic mainly completes the platform’s hardware makeup, and realizes each function of software and hardware. Namely realize heart rate variability signal checking, acquisition, store and analysis. Carry on the time domain analysis and the AR model frequency domain analysis to the heart rate variability, getting the useful nerve information, applied in the cardiovascular disease clinical diagnosis.
During the topic realization, first, introduce and analysis the structure and function, and the significance of virtual instrument (Virtual Instrumentation, VI). On the base of this, study the design and realization method of the system software and hardware. Software’s design and realization becomes the key function. The system hardware uses the technical very mature electronic products, causing the system structure to be simple and high performance. The whole system structure makes up of heart rate variability sensor, data acquisition card, and computer. Then, carry on the time domain analysis, the spectrum analysis and the chaos analysis to the heart rate variability signal. Finally based on the software’s importance in virtual instrument technology, design and realize software each function from the object-oriented method angle. The whole software function includes heart rate variability signal real-time acquisition, the signal saving, signal time domain and frequency domain analysis.
Key words: virtual instrument; data acquisition; heart rate variability; AR model