本文選題：動態(tài)心電　切入點：運動偽跡　出處：《東北大學》2012年碩士論文

【摘要】：近年來,心電信號的處理和應(yīng)用重點逐漸轉(zhuǎn)向日常生活中行為下的檢測,而R波提取方法的研究仍一直被作為心電監(jiān)測的重點。然而,在長時間和動態(tài)的心電信號記錄過程中,將引入很多噪聲。其中最為常見的噪聲即肌電干擾,它嚴重影響R波的提取質(zhì)量。 本文通過采集動態(tài)心電信號,分析含有嚴重肌電干擾的動態(tài)心電信號的特征。分析表明,不同種類的肌肉運動會產(chǎn)生不同形態(tài)的肌電,在動態(tài)心電信號中一般存在兩種肌電干擾信號：一種是肌肉細胞收縮或拉伸時產(chǎn)生的電信號,這種信號的特點是在幅值上快速的變化,能量基本分布在低頻區(qū)域；另一種是肌肉細胞保持不動持續(xù)發(fā)力時產(chǎn)生的電信號,其特點是比前一種肌電信號頻率高,幅值小,波動性較強,對心電信號中的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態(tài)心電波形,然后通過頻毒能量比、短時過閾值率和短時能量三個參數(shù)進行質(zhì)量分析。其中,頻率能量比參數(shù)可以用來區(qū)分靜態(tài)心電信號、含持續(xù)性肌電干擾的心電信號和含突發(fā)性肌電干擾的心電信號,但是,它需要的幀長較長,對質(zhì)量分析結(jié)果的準確性有一定的影響。短時過閾值率參數(shù)可以區(qū)分靜態(tài)心電信號和動態(tài)心電信號,短時能量參數(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,它們的幀長較短,可以彌補頻率能量比的幀長缺陷。結(jié)合時域和頻域三種特征參數(shù)的結(jié)果,可實現(xiàn)短時內(nèi)的動態(tài)心電信號質(zhì)量分析。 R波檢測方法的選擇與質(zhì)量分析結(jié)果有關(guān)。對含持續(xù)性肌電干擾的動態(tài)心電信號采用Dmey小波模極大值的多尺度分析方法。動態(tài)心電信號的變化趨勢可以由經(jīng)驗?zāi)B(tài)分解法獲得,所以對含突發(fā)性肌電干擾的動態(tài)心電信號采用本征模函數(shù)的多尺度分析進行R波檢測。 本文提出的基于質(zhì)量分析的動態(tài)心電信號中R波檢測方法由實驗室中采集得到的數(shù)據(jù)樣本進行驗證,分析結(jié)果顯示本方法在動態(tài)心電信號的分析與R波提取結(jié)果具有可接受的和可靠的準確性,基本可達到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%.
【學位授予單位】：東北大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：R318.04

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