【摘要】：本文基于小波信號分解與重建理論和自適應濾波技術(shù)相結(jié)合的方法,以去除膈肌肌電信號中的心電干擾.首先,采用小波分解把肌電信號中包含心電干擾的低頻段分離出來,這部分信號經(jīng)過自適應濾波處理后壓低膈肌肌電信號,突出心電信號,然后從肌電信號中減去通過自適應濾波得到的心電噪聲,再與處理后的細節(jié)進行小波的信號重建,得到心電干擾較少的EMGdi信號.通過對真實的臨床醫(yī)學數(shù)據(jù)處理,并與常用的高通濾波方法作比較,結(jié)果表明,本文所提方法的輸出信號的信噪比明顯提高,對比處理前后信號的功率譜發(fā)現(xiàn)處理后的信號的頻譜明顯向高頻移動,表明該方法取得了較好的去噪效果.
[Abstract]:Based on the theory of wavelet signal decomposition and reconstruction and adaptive filtering technique, the ECG interference in diaphragm EMG signal is removed in this paper. First of all, wavelet decomposition is used to separate the low frequency band which contains ECG interference. This part of the signal is processed by adaptive filtering to suppress the diaphragm EMG signal and to protrude the ECG signal. Then the ECG noise obtained by adaptive filtering is subtracted from the EMG signal and the wavelet signal is reconstructed with the processed details to obtain the EMGdi signal with less ECG interference. Through the real clinical medical data processing, and compared with the common high-pass filtering method, the results show that the signal-to-noise ratio of the output signal of the proposed method is obviously improved. Comparing the power spectrum of the signal before and after processing, it is found that the spectrum of the processed signal moves to the high frequency obviously, which shows that the method achieves better denoising effect.
【作者單位】： 中山大學南方學院;中山大學電子與信息工程學院;
【分類號】：TN911.7

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