基于优化VMD和改进小波阈值的脉搏波降噪方法OA

Aimed at the problem of noise interference in the acquisition process of human pulse wave signals,a joint denoise reduction method based on optimized variational mode decomposition(VMD)and improved wavelet threshold(WT)is proposed.We determined the optimal decomposition layer number of VMD according to the difference coefficient of the envelope entropy of the signal,and used the sparrow search algorithm to determine the penalty factor.It performed the VMD on the pulse wave signal containing noise,and calculated the correlation of eigenmode components(IMFs)and the original signal.We improved the wavelet threshold denoising of the noise components,and reconstructed each component.The experimental results show that the proposed joint algorithm has a better denoising effect than EMD(empirical mode decomposition)-WT,EEMD(ensemble empirical mode decomposition)-WT and other methods.And it can effectively improve SNR and reduce mean square error in the experiment of measuring pulse wave signals.