Research on photoplethysmography denoising method based on whale optimization algorithm variational mode decomposithon combined with wavelet threshold
TANG Xin
YI Gang
ZHANG Baolin
Abstract：To explore the noise reduction method of photoplethysmography(PPG),we proposed a novel algorithm based on whale optimization algorithm(WOA),variational mode decomposithon(VMD)and wavelet threshold(WT).Firstly,the mode decomposi-tion number K and penalty factor α which had great influence on VMD were selected by WOA.Secondly,VMD was used to decompose the noisy signals,remove the noise component according to the correlation coefficient,and retain the useful signal component,and then WT was used to denoise the remaining component.Finally,the processed PPG signals were obtained through reconstruction.The experi-ment results showed that the proposed method could improve the signal to noise ratio and reduce the mean square error index,and it can reduce the signal noise and retain the signal characteristics.
Keywords：PhotoplethysmographyIntelligent optimization algorithmVariational mode decompositionWavelet decompositionSignal processing
Publication Date：2024-08-28
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：7( 331-337 )