Gastric Impedance Signal Analysis Based on Wavelet Transform and Stein Unbiased Risk Estimation Rule / 医疗卫生装备

Objecive To discuss a denoise method of gastric impedance signal based on wavelet transform and Stein Unbiased Risk Estimation rule.Methods Firstly,the signal was decomposed by Multi-resolution Analysis(MRA).Secondly,the signal was denoised by Stein Unbiased Risk Estimation rule,whose threshold was adaptive.Results The experimentation results demonstrated that breathing and blood flowing impedance interference could be cancelled effectively by using this method.Conclusion Wavelet analysis provides a new method for further study of gastric motility signal parameter extraction.