ECG去噪算法的设计与实现

对心电信号进行数字滤波时，因其幅频特性和过渡带的影响很容易造成心电波形失真,为了使原始含噪心电信号与降噪后的心电信号具有同等光滑性和最小方差估计特性，去噪连续性效果更好，分析研究了几种常用的去噪算法，并分别采用MIT BIH数据库中的数据及实测心电数据进行仿真分析，仿真结果表明采用小波阈值去噪算法可以更好的对心电信号进行去噪处理，得到清晰不失真的原始心电信号，信噪比(SNR)达到30以上，均方误差（MSE）在0.1以下，设计方法简单、计算量小，具有很好的应用前景和广泛地使用价值。

Design and implementation of ECG denoising algorithm

When the ECG signal is digitally filtered, it is easy to cause ECG distortion due to its amplitude frequency characteristic and transition zone. In order to make the original noisy ECG signal have the same smoothness and minimum variance as the ECG signal after noise reduction It is analyzed and analyzed by using the data of MIT BIH database and the measured ECG data respectively. The simulation results show that the wavelet denoising algorithm is used to denoise the wavelet denoising algorithm. The algorithm can be used to denoise the ECG signal, get the original ECG signal with clear distortion, Signal to noise ratio SNR of 30 or more, mean square error MSE below 0.1, the design method is simple, the calculation is small, Good application prospects and extensive use of value.