本文選題：動(dòng)態(tài)心電　切入點(diǎn)：運(yùn)動(dòng)偽跡　出處：《東北大學(xué)》2012年碩士論文

【摘要】：近年來(lái),心電信號(hào)的處理和應(yīng)用重點(diǎn)逐漸轉(zhuǎn)向日常生活中行為下的檢測(cè),而R波提取方法的研究仍一直被作為心電監(jiān)測(cè)的重點(diǎn)。然而,在長(zhǎng)時(shí)間和動(dòng)態(tài)的心電信號(hào)記錄過(guò)程中,將引入很多噪聲。其中最為常見(jiàn)的噪聲即肌電干擾,它嚴(yán)重影響R波的提取質(zhì)量。 本文通過(guò)采集動(dòng)態(tài)心電信號(hào),分析含有嚴(yán)重肌電干擾的動(dòng)態(tài)心電信號(hào)的特征。分析表明,不同種類(lèi)的肌肉運(yùn)動(dòng)會(huì)產(chǎn)生不同形態(tài)的肌電,在動(dòng)態(tài)心電信號(hào)中一般存在兩種肌電干擾信號(hào)：一種是肌肉細(xì)胞收縮或拉伸時(shí)產(chǎn)生的電信號(hào),這種信號(hào)的特點(diǎn)是在幅值上快速的變化,能量基本分布在低頻區(qū)域；另一種是肌肉細(xì)胞保持不動(dòng)持續(xù)發(fā)力時(shí)產(chǎn)生的電信號(hào),其特點(diǎn)是比前一種肌電信號(hào)頻率高,幅值小,波動(dòng)性較強(qiáng),對(duì)心電信號(hào)中的R波有很大的干擾作用。 本研究首先采集不同肌電干擾影響下的動(dòng)態(tài)心電波形,然后通過(guò)頻毒能量比、短時(shí)過(guò)閾值率和短時(shí)能量三個(gè)參數(shù)進(jìn)行質(zhì)量分析。其中,頻率能量比參數(shù)可以用來(lái)區(qū)分靜態(tài)心電信號(hào)、含持續(xù)性肌電干擾的心電信號(hào)和含突發(fā)性肌電干擾的心電信號(hào),但是,它需要的幀長(zhǎng)較長(zhǎng),對(duì)質(zhì)量分析結(jié)果的準(zhǔn)確性有一定的影響。短時(shí)過(guò)閾值率參數(shù)可以區(qū)分靜態(tài)心電信號(hào)和動(dòng)態(tài)心電信號(hào),短時(shí)能量參數(shù)可以區(qū)分含持續(xù)性肌電干擾和含突發(fā)性肌電干擾的心電信號(hào),它們的幀長(zhǎng)較短,可以彌補(bǔ)頻率能量比的幀長(zhǎng)缺陷。結(jié)合時(shí)域和頻域三種特征參數(shù)的結(jié)果,可實(shí)現(xiàn)短時(shí)內(nèi)的動(dòng)態(tài)心電信號(hào)質(zhì)量分析。 R波檢測(cè)方法的選擇與質(zhì)量分析結(jié)果有關(guān)。對(duì)含持續(xù)性肌電干擾的動(dòng)態(tài)心電信號(hào)采用Dmey小波模極大值的多尺度分析方法。動(dòng)態(tài)心電信號(hào)的變化趨勢(shì)可以由經(jīng)驗(yàn)?zāi)B(tài)分解法獲得,所以對(duì)含突發(fā)性肌電干擾的動(dòng)態(tài)心電信號(hào)采用本征模函數(shù)的多尺度分析進(jìn)行R波檢測(cè)。 本文提出的基于質(zhì)量分析的動(dòng)態(tài)心電信號(hào)中R波檢測(cè)方法由實(shí)驗(yàn)室中采集得到的數(shù)據(jù)樣本進(jìn)行驗(yàn)證,分析結(jié)果顯示本方法在動(dòng)態(tài)心電信號(hào)的分析與R波提取結(jié)果具有可接受的和可靠的準(zhǔn)確性,基本可達(dá)到94%以上。
[Abstract]:In recent years, the emphasis of ECG signal processing and application has gradually shifted to the detection of the behavior in daily life, while the research of R wave extraction method has been regarded as the focus of ECG monitoring.However, a lot of noise will be introduced in the long and dynamic ECG recording process.The most common noise is myoelectric interference, which seriously affects the quality of R wave extraction.In this paper, the characteristics of dynamic ECG signals with serious EMG interference are analyzed by collecting dynamic ECG signals.Analysis shows that different kinds of muscle movements produce different forms of electromyography. There are generally two kinds of EMG interference signals in dynamic ECG signals: one is electrical signals produced by muscle cells when they contract or stretch.This signal is characterized by a rapid change in amplitude and the distribution of energy in the low frequency region; the other is the electrical signal produced when the muscle cell keeps its motionless and sustained force, which is characterized by a higher frequency and smaller amplitude than the previous EMG signal.It has strong volatility and has great interference to R wave in ECG signal.In this study, the dynamic ECG waveforms under the influence of different EMG interference were collected firstly, and then the quality analysis was carried out by three parameters: the ratio of frequency to poison energy, the short time threshold rate and the short time energy.Among them, the frequency-energy ratio parameters can be used to distinguish between static ECG signals, ECG signals with persistent EMG interference and ECG signals with sudden EMG interference, but it requires a longer frame length.It has a certain effect on the accuracy of the quality analysis results.It can make up for the frame length defect of the frequency energy ratio.Combined with the results of three characteristic parameters in time domain and frequency domain, the quality analysis of dynamic ECG signals in short time can be realized.The selection of R wave detection method is related to the result of quality analysis.The multiscale analysis method of Dmey wavelet modulus maximum is used for the dynamic ECG signal with persistent EMG interference.The change trend of dynamic ECG signal can be obtained by empirical mode decomposition method, so R wave detection of dynamic ECG signal with burst EMG interference is carried out by means of multi-scale analysis of eigenmode function.The method of R wave detection in dynamic ECG signal based on quality analysis proposed in this paper is verified by the data samples collected in the laboratory.The analysis results show that the method has acceptable and reliable accuracy in dynamic ECG signal analysis and R wave extraction, and can basically reach more than 94%.
【學(xué)位授予單位】：東北大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類(lèi)號(hào)】：R318.04

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