关键词: 心电信号, 基于有限长脉冲响应滤波器, 小波分解重构, 小波阈值

Abstract: The weak and low-frequency Electrocardiogram （ECG） signals which can be used for disease diagnosis after preprocessing are susceptible to interference from the external environment. The wavelet decomposition and re-construction can not effectively filter out the 50Hz frequency and EMG interference of which the frequency band is the same with the ECG, the wavelet thresholding method can not effectively filter out the baseline drift, and this method can cause Pseudo-Gibbs phenomenon in the signal singular points. In order to denoise effectively, a wavelet denoising method based on aTrous algorithm was proposed in this paper, and this method was a comprehension of the wavelet reconstruction and decomposition, wavelet thresholding and 50Hz notch filter. The clinical ECG simulation results show that this method can effectively remove the ECG baseline drift, 50Hz frequency interference and EMG interference, while reducing the Gibbs phenomenon.

Key words: Electrocardiogram （ECG）, Finite Impulse Response (FIR) filter, wavelet decomposition and reconstruction, wavelet thresholding method