关键词: 心电信号, 小波熵, 小波变换, 去噪处理

Abstract: For keeping the available information of a signal when removing noise，a novel adaptive threshold filter and R wave detection method based on wavelet entropy is proposed，which combines the wavelet entropy theory with the threshold wavelet denoising method.Then the high-frequency noise with different SNR in the ECG signal is analyzed by this method.And the analysis is done compared with the optimal threshold wavelet entropy denoising method.The results indicate that the arithmetic can adaptively confirm the wavelet coefficients threshold and it needn’t dispose the large numbers of wavelet coefficients directly.At the same time，it has an excellent filter performance and especially more effective in serious noisy situations.At last，the proposed method is verified using the clinical data and the data from MIT-BIH arrhythmia database.It shows that this method is simple，effective and stable.

Key words: Electro Cardio Gram（ECG） signal, wavelet entropy, wavelet transform, denoising processing