The present invention relates to a system, method, and program for analyzing a blood flow state using a deep neural network. According to an embodiment of the present invention, the method for analyzing a blood flow state using a deep neural network includes: a step (S100) in which an analysis server including one or more computers receives input blood flow sound wave signals from sound measurement devices attached or worn on one or more specific body parts of a user; a learning signal data generation step (S200) in which the analysis server accumulates the input blood flow sound wave signals to generate learning signal data; a blood flow state information obtaining step (S300) in which the blood flow state information is obtained by one or more computers through the analysis of the learning signal data using the deep neural network whereas the blood flow state information includes normal blood flow information and abnormal feature information; a step (S400) of using the deep neural network to analyze the learning signal data and searching and matching the abnormal situation data with the fitting abnormal feature information; a step (S500) of searching for the abnormal feature information in the input blood flow sound wave signals of the specific user obtained on a real-time basis; and a step (S600) of predicting the occurrence of a specific abnormal situation based on the matching relationship between the abnormal feature information and the abnormal situation. The present invention can diagnose the blood pressure state by using the blood flow sound wave signals to predict the occurrence of an abnormal symptom on blood vessels in a specific body part of the user.
SYSTEM METHOD AND PROGRAM FOR ANALYZING BLOOD FLOW BY DEEP NEURAL NETWORK