Research on ECG signal denoising based on optimized variational mode decomposition
In response to the problem of strong noise interference in ECG signals,this paper proposes a de-noising method for ECG signals based on optimized variational mode decomposition.Firstly,the optimal number of decomposition layers for variational modal decomposition is determined based on the invariant characteristics of trend components.Then,the mayfly optimization algorithm is used to find the optimal penalty factor and fidelity coefficient,and the optimal decomposition parameters are obtained.Nextly,the sample entropy of each decomposed modal component is calculated,and pure modal components and noisy modal components are distinguished based on the entropy value.Non-Local Mean Denoising algorithm is used to further denoise the noisy modal components.The simulation signal and the ECG signal are tested,and the SNR and Mean squared error are used as evaluation indicators.The experiment results show that the algorithm in this paper achieves the highest SNR and the smallest Mean squared error,which is an effective denoising method.
ECG signal denoisingvariational mode decompositionmayfly optimizationNon-Local Mean Denoising
万方数据
维普
