Abstract

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Title:: Application development of intelligent auscultation system based on Matlab deep learning

Author(s):: LU Jiawen1; CHEN Shiyuan2; YUAN Lüfan1; CHEN Fuming3; XIE Changyong4; LI Chuantao5; 1. School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China 2. Department of Aviation Medicine, Naval Medical Center, Naval Medical University, Shanghai 200433, China 3. Department of Medical Engineering, 940 Hospital of the Joint Service Support Force of the Peoples Liberation Army, Lanzhou 730050, China 4. Medical Research Department, Naval Medical Center, Naval Medical University, Shanghai 200433, China 5. Aviation Physiological and Psychological Training Team, Naval Medical Center, Naval Medical University, Shanghai 200433, China

Keywords:: Keywords: deep learning APP Designer visualization auscultation GoogLeNet

Abstract:: Abstract: A deep learning intelligent auscultation software system based on Matlab APP Designer is developed. The software system is equipped with isolated wireless electronic auscultation equipment and built-in GoogLeNet model to realize the visualization auscultation of heart and lung sounds, storage of auscultation data, intelligent classification of breath sounds, remote auscultation and teaching of auscultation. The trial results show that the software is easy to operate, can clearly display heart and lung sound data, and has high practical value and application prospects in hospitals and units with poor medical resources.