北京生物醫(yī)學(xué)工程

基于抗混疊小波變換的胎兒心電信號(hào)分離方法

Fetal ECG separation method based on anti-aliasing wavelet transform

作者：王旭蔡宗平林生佐

單位：廣東環(huán)境保護(hù)工程職業(yè)學(xué)院 (廣東佛山 528216) 通信作者:王旭 E-mail:954582137@ qq. com

關(guān)鍵詞：抗混疊; 小波變換; 胎兒心電信號(hào); 母體心電信號(hào); 心電峰值

分類號(hào)：R318;TP301. 6

出版年·卷·期（頁(yè)碼）：2020·39·4（398-405）

摘要：

目的胎兒心電圖能夠較好地反映胎兒在子宮內(nèi)的發(fā)育狀況,但是由于采集的胎兒心電信號(hào)中混有噪聲干擾,給醫(yī)學(xué)診斷帶來(lái)極大干擾。抗混疊小波變換算法能夠從混有噪聲干擾的源信號(hào)中提取胎兒心電信號(hào),且當(dāng)胎兒心電信號(hào)與母體心電信號(hào)混疊時(shí),該方法仍能夠提取胎兒心電信號(hào)。基于此,本文提出一種基于抗混疊小波變換的胎兒心電信號(hào)分離方法。方法首先對(duì)原始心電信號(hào)進(jìn)行濾波預(yù)處理,再利用小波變換分離母體心電信號(hào)和胎兒心電信號(hào),最后根據(jù)抗混疊分離算法獲取混合心電信號(hào)中的胎兒心電信號(hào),得到滿周期的胎兒心電信號(hào)。結(jié)果該方法能夠較好地獲取胎兒心電波形,胎兒心電波形識(shí)別準(zhǔn)確率可達(dá) 100%,在信噪比較低的情況下,識(shí)別準(zhǔn)確率仍可達(dá)到 77. 78%。應(yīng)用此算法在國(guó)外 MIT-BIT 心電信號(hào)數(shù)據(jù)和國(guó)內(nèi)醫(yī)院臨床心電信號(hào)數(shù)據(jù)中進(jìn)行實(shí)驗(yàn)仿真,并與先前學(xué)者的胎兒心電信號(hào)提取方法進(jìn)行對(duì)比。結(jié)論此方法具有較高的識(shí)別準(zhǔn)確率以及在臨床應(yīng)用中的可靠性和可行性。

Objective Fetal electrocardiogram can reflect the development of fetus in the womb better, but the interference of noise in the collected fetal ECG signals brings great interference to the medical diagnosis. The anti-aliasing wavelet transform algorithm can extract the fetal ECG signals from the source signals with noise interference,and when the fetal ECG signals are aligned with the maternal ECG signals,the method can still extract the fetal ECG signals. And on account of which,this paper proposes a method of fetal ECG separation based on anti-aliasing wavelet transform. Methods First,the ECG signals are processed by noise filtering. Then,we use wavelet transform to separate maternal ECG and fetal ECG. Finally,the fetal ECG signals in the mixed ECG are obtained by using the anti-aliasing separation algorithm. Results This method can obtain the ECG waveform better,and the accuracy of fetal ECG signal recognition can be 100%. In the case of low signal-to-noise ratio,the accuracy of fetal ECG signal recognition is still 77. 78%. The algorithm is simulated in foreign MIT-BIT ECG database and clinical ECG data in domestic hospitals and is compared with the previous methods of fetal ECG extraction. Conclusions The high recognition accuracy of this method,as well as its reliability and feasibility in clinical application is proved.

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