软件导刊2025，Vol.24Issue(9)：1-8,8.DOI:10.11907/rjdk.251008
人工智能在心音信号检测领域的研究综述
Review of Research on Artificial Intelligence in the Field of Heart Sound Signal Detection
摘要
Abstract
Phonocardiogram signal analysis is a crucial technology in intelligent cardiac auscultation and related diagnostic fields.In recent years,traditional machine learning and deep learning methods have played a significant role in the preprocessing,feature extraction,and clas-sification of phonocardiogram signals,driving rapid advancements in this domain.This paper systematically reviews the signal processing methods,machine learning,and deep learning techniques employed in existing research,while summarizing the characteristics of commonly used public phonocardiogram databases and their application value in studies.Finally,it discusses future directions for phonocardiogram sig-nal analysis,including database development,model lightweighting,and multimodal fusion analysis,aiming to provide a reference for related research endeavors.关键词
心音信号/深度学习/机器学习/心音数据库/迁移学习Key words
heart sound signals/deep learning/machine learning/heart sound databases/transfer learning分类
信息技术与安全科学引用本文复制引用
肖裴垚,李轶凯,房子洋,王津梁,张治..人工智能在心音信号检测领域的研究综述[J].软件导刊,2025,24(9):1-8,8.基金项目
国家自然科学基金项目(82270536) （82270536）
