北京生物醫(yī)學(xué)工程

一種基于提升小波和中值濾波的心電去噪方法

An Electrocardiogram Signals De-Noising Method Based on Lifting Wavelet and Median Filtering

作者：翁羽潔丁勇孫立艷楊濤

單位：南京醫(yī)科大學(xué)生物醫(yī)學(xué)工程學(xué)院（南京210029）

關(guān)鍵詞：心電; 提升小波; 中值濾波

分類(lèi)號(hào)：

出版年·卷·期（頁(yè)碼）：2010·29·5（465-469）

摘要：

小波變換在心電去噪中有非常好的效果，但傳統(tǒng)的小波變換計(jì)算量大，不利于實(shí)時(shí)處理和嵌入式系統(tǒng)的實(shí)現(xiàn)，提升小波是一種快速有效的小波變換的實(shí)現(xiàn)方法，本文提出了一種運(yùn)用提升小波和中值濾波去除心電信號(hào)工頻干擾、肌電干擾和基線漂移三種噪聲的方法。該方法運(yùn)用提升小波對(duì)含噪聲的心電信號(hào)做三層分解，并根據(jù)小波基的特性在不同層次采用不同的小波基，去除心電信號(hào)的工頻干擾和肌電干擾；對(duì)第三層分解后得到的數(shù)據(jù)做中值濾波，去除心電信號(hào)的基線漂移。將以上方法與傳統(tǒng)的小波方法相比，去噪結(jié)果表明兩者去噪效果相當(dāng)，但提升方法運(yùn)算速度有很大的提升。結(jié)果證實(shí)將提升小波與中值濾波方法結(jié)合可以有效地去除心電信號(hào)的工頻干擾、肌電干擾和基線漂移，而且可以較大地提高運(yùn)算速度，便于進(jìn)行實(shí)時(shí)處理和嵌入式系統(tǒng)的實(shí)現(xiàn)。

Wavelet transform performs very well in removing noise of ECG, but the traditional wavelet transform costs a large number of calculations, it is inconvenient to real-time processing and embedded systems implementation. The lifting wavelet is a fast and effective implementation of wavelet transform. This article introduces an ECG de-noising method using lifting wavelet and median filtering. In this method, the lifting wavelet was used for three-level decomposition to ECG signals, and different wavelet bases were chosen to remove 50Hz frequency interference and EMG interference at different levels. We used the median filtering method to the data obtained after third level decomposition to remove baseline drift. Compare de-noising results of the above method with the traditional wavelet method, it was indicated that the de-noising results were equivalent, however the computing speed of the proposed method was improved greatly. Combination of lifting wavelet and median filtering gives a very good method to remove 50Hz frequency interference, EMG interference and baseline drift, and it also can improve computing speed, makes it ease of real-time processing and embedded system implementations.

參考文獻(xiàn)：

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