摘要
在采集心电信号过程中,传感器经常受到其它用电设备带来的工频噪声干扰,以及由病人呼吸、皮肤阻抗、运放温漂等产生的0.05~2 Hz基线漂移噪声干扰,其频段范围与心电信号ST段频谱成分接近,这些对心脏疾病的判断会产生影响,如何有效地消除此类干扰显得尤为重要。通过MATLAB仿真,对带噪信号采用级联型LMS自适应滤波系统,同时滤除工频50 Hz干扰及2 Hz基线漂移。仿真结果表明,此方案不仅可以摆脱传统滤波方法的局限性,还可以有效去除双频干扰,为后期算法布署嵌入式硬件提供了新思路。
In the process of collecting ECG signal,the sensor is often subject to power frequency noise brought by other electrical equipment,as well as 0.05~2 Hz baseline drift noise generated by patients’respiration,skin impedance,operational amplifier temperature drift,etc.Its frequency band range is close to the ST segment spectrum composition of ECG signal,which will have an impact on the judgment of heart disease,so how to effectively eliminate such interference is particularly important.In this paper,through MATLAB simulation,cascaded LMS adaptive filtering system is used to filter out 50 Hz power frequency interference and 2 Hz baseline drift for noisy signals at the same time.The simulation results show that this scheme can not only get rid of the limitations of traditional filtering methods,but also effectively remove the dual frequency interference;It also provides a new idea for algorithm deployment of embedded hardware.
作者
李雨琨
郭飞
Li Yukun;Guo Fei
基金
××××的电磁虚拟仿真××××与实践研究(GJ21ZX016)。
