Intelligent Pulse Detection and Graphic Analysis of Virtual Simulation Technology in Human Movement

Abstract

In recent years, with the rapid development of digital signal processing technology and machine learning, people have begun to study and analyze the relationship between pulse signals and human physiological states and diseases. The analysis of pulse signal usually includes pulse signal acquisition, preprocessing, extraction of relevant features, classification and identification, etc. However, the pulse signal under human motion is not stable, so it is hoped to develop a method that can intelligently detect the pulse signal under human motion. system to help people monitor pulse changes. This paper uses sensor technology and virtual simulation technology (VST) to design a pulse detection (PD) system. The sensors of this system include temperature sensor and pulse condition sensor. The sensors of this system include temperature sensor and pulse sensor. The PD results can be displayed by compiling a virtual instrument platform through MATLAB, and the detection results can be displayed in the form of graphics. The recognition accuracy of the system in the three movements of jumping, running and squatting reaches more than 90%, which verifies the feasibility of the system designed in this paper in the field of PD.