Application of an improved empirical mode decomposition algorithm in the feature extraction of blood pressure signal in salt-sensitive rats

Abstract

Analyzing the blood pressure signal of salt-sensitive rats can provide important information for the study of blood pressure changes caused by human salt sensitivity. The blood pressure signal usually contains noise. In order to extract a more pure blood pressure signal, this paper uses an improved EMD algorithm based on noise statistical features. First, emd is applied to the original signal, and the high frequency noise except the heart rate will be randomly sorted. Then this paper add this signal to the original noise and calculate the average value, use the result as the new noise signal to sum the original real signal, and then do EMD. This algorithm effectively reduces the power of noise. The simulation results show that this method can effectively extract the blood pressure signal of salt-sensitive (SS) rats. Under the high and low salt diet, the changes in blood pressure of the rats are in line with medical laws.