本文關(guān)鍵詞： 經(jīng)驗(yàn)?zāi)B(tài)分解(EMD) 心電信號(hào)(ECG) 去噪 本征模態(tài)函數(shù)(IMF)　出處：《天津工業(yè)大學(xué)學(xué)報(bào)》2014年04期 　論文類型：期刊論文

【摘要】：為解決心電信號(hào)去噪過程中有用信號(hào)被削減的問題,提出了基于經(jīng)驗(yàn)?zāi)B(tài)分解(EMD)濾除心電信號(hào)帶內(nèi)噪聲的方法.該方法用EMD方法處理含噪分量,保持有用信號(hào)的功率基本不變,大大消弱噪聲的功率,達(dá)到去噪目的.實(shí)驗(yàn)表明:與傳統(tǒng)EMD閾值濾波相比,該方法在濾除噪聲的同時(shí)能保留真實(shí)信號(hào)的完整性,證實(shí)了該算法對(duì)低信噪比微弱信號(hào)帶內(nèi)噪聲濾除的有效性.
[Abstract]:In order to solve the problem that useful signals are reduced in the process of ECG de-noising, a method based on empirical mode decomposition (EMD) to filter the in-band noise of ECG signals is proposed. The method uses EMD method to deal with noise-containing components. Keeping the power of the useful signal basically unchanged, greatly reducing the power of noise to achieve the purpose of de-noising. The experimental results show that: compared with the traditional EMD threshold filter. This method can not only filter noise but also preserve the integrity of real signal. It is proved that the algorithm is effective for the in-band noise filtering of low signal-to-noise ratio (SNR) weak signals.
【作者單位】： 天津工業(yè)大學(xué)電氣工程與自動(dòng)化學(xué)院;
【基金】：天津市自然科學(xué)基金資助項(xiàng)目(10JCYBJC07400)
【分類號(hào)】：TN911.7;R318.5
【正文快照】： 心電信號(hào)(Electrocardiogram,ECG)是心臟的電活動(dòng)在體表的表現(xiàn),包含著人體大量的生理或病理信息,是一種重要的生物電信號(hào).心電信號(hào)又是一種低幅值、低頻率、低信噪比同時(shí)伴隨著各種干擾的隨機(jī)性很強(qiáng)的非線性、非平穩(wěn)信號(hào),且噪聲與心電信號(hào)存在時(shí)頻重疊[1],致使心電信號(hào)的濾波，

本文編號(hào)：1487405