The neuronet method for pulse wave analysis by hydro-cuff technology at cardiovascular system diagnosis

Abstract

The article discusses the application of intelligent neural networks for the diagnosis of diseases. The use of a neural network for the diagnosis of cardiovascular diseases is justified. The advantages and disadvantages of existing methods for analyzing the pulse wave circuit are considered. The increase in the accuracy of calculating the critical points of the pulse wave is justified. To increase the accuracy, a hydro-cuff technology has been proposed, which can significantly increase the amplitude of oscillations caused by pulsation of arteries. A neural network has been developed to detect the characteristic points of pulse signals recorded using hydro-cuff technology. Setting the coefficients of neural network cascade-correlation is performed using iterative Kachmazh’s algorithm. Signal processing was performed in the MatlabR2017b environment.