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心音智能听诊技术的研究现状与应用展望 被引量:1

Research Status and Application Prospect of Intelligent Auscultation Technology of Heart Sound
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摘要 心血管疾病(CVD)已成为人类健康最大的威胁之一,因此准确检测早期病情对降低心血管疾病的死亡率具有至关重要的意义。电子听诊、远程听诊和智能听诊的需求日益增加,通过回顾性研究现阶段电子听诊器及智能听诊算法在心脏疾病诊断的研究和应用,较为全面地列举了现有电子听诊器及心音数据库,归纳了心音智能听诊亟需解决的一些关键技术,在算法方面为提升智能听诊准确率提供建议,还对电子听诊和智能听诊的发展方向提供建议。 Cardiovascular disease(CVD)has become one of the greatest threats to human health,so accurate detection of early disease condi⁃tions is crucial for reducing the mortality rate of cardiovascular disease.With the normalization of the COVID-19,the demand for electronic auscultation,remote auscultation and intelligent auscultation is increasing.Through a retrospective study of the research and application of electronic stethoscope and intelligent auscultation algorithms in the diagnosis of heart disease at this stage,a more comprehensive list of exist⁃ing electronic stethoscope and heart sound databases is given,and some key technologies that need to be solved urgently in the intelligent aus⁃cultation of heart sounds are summarized,providing suggestions on algorithms to improve the accuracy of intelligent auscultation,Suggestions are also provided on the development direction of electronic auscultation and intelligent auscultation.
作者 王志 张菲菲 陈始圆 陈扶明 袁履凡 季云峰 李川涛 WANG Zhi;ZHANG Feifei;CHEN Shiyuan;CHEN Fuming;YUAN Lyufan;JI Yunfeng;LI Chuantao(School of Health Science and Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Department of Teaching and Research of Chinese as a Foreign Language,Center for International Military Medical Exchange,Naval Medical University;Department of Aviation Medicine,Naval Medical Center,Naval Medical University,Shanghai 200433,China;The 940th Hospital of PLA Joint Logistic Support Force,Lanzhou 730050,China;Institute of Machine Intelligence,University of Shanghai for Science and Technology,Shanghai 200093,China;Aviation Physiology and Psychology Training Team,Naval Medical Center,Naval Medical University,Shanghai 200433,China)
出处 《软件导刊》 2023年第7期212-219,共8页 Software Guide
基金 国家自然科学基金项目(61901515) 海军特色医学中心抗疫专项基金项目(20M0201) 海军军医大学军民融合专项基金项目(21X0201)。
关键词 心脏疾病 心音 智能听诊 电子听诊器 深度学习 机器学习 heart disease heart sound intelligent auscultation electronic stethoscope deep learning machine learning
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