Research progress in digital auscultation:equipment and systems,characteristic parameters,and their application in diagnosis of pulmonary diseases and syndromes  

数字声诊研究进展:设备与系统、特征参数及其在肺部病证诊断中的应用

作　　者：Shuyi ZHANG Tao JIANG Jiatuo XU 张疏逸;江涛;许家佗(上海中医药大学中医学院,上海201203)

机构地区：[1]School of Traditional Chinese Medicine,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China

出　　处：《Digital Chinese Medicine》2025年第1期20-27,共8页数字中医药(英文)

基　　金：National Natural Science Foundation of China(82104738);National Administration of Traditional Chinese Medicine(TCM)High-level Key Discipline Construction Project:TCM Diagnostics(ZYYZDXK-2023069).

摘　　要：Traditional Chinese medicine(TCM)auscultation has a long history,and with advancements in equipment and analytical methods,the quantitative analysis of auscultation parameters has determined.However,the complexity and diversity of auscultation,along with variations in devices,analytical methods,and applications,bring challenges to its standardization and deeper application.This review presents the advancements in auscultation equipment and systems,auscultation characteristic parameters,and their application in the diagnosis of pulmonary diseases and syndromes over the past 10 years,while also exploring the progress and challenges of current digital research of auscultation.This review also proposes the establishment of standardized protocols for the collection and analysis of auscultation data,the incorporation of advanced artificial intelligence(AI)auscultation analysis methods,and an exploration of the diagnostic utility of auscultatory features in pulmonary diseases and syndromes,so as to provide more precise decision support for intelligent diagnosis of pulmonary diseases and syndromes.中医声诊源远流长,随着声诊设备与分析方法的不断发展,目前已初步实现声诊参数的量化分析。但由于声诊的复杂性和多样性,以及不同设备、方法和应用场景之间的差异,导致声诊研究在标准化和深入应用方面存在许多挑战。本文综述了近10年声诊采集设备与系统、声诊特征参数及其在肺部疾病与证候诊断中的应用等研究进展,深入剖析当前声诊数字化研究取得的进展及存在的问题,并提出应建立标准化声诊采集分析方案、引入更为先进的人工智能声诊分析方法、揭示声诊特征在肺部病证诊断中的价值,为肺部病证的智能诊断提供更精准的决策支持。

关 键 词：Digital auscultation Equipment and systems Characteristic parameters Pulmonary diseases and syndromes Intelligent diagnosis 

分 类 号：R241.2[医药卫生—中医诊断学]