世界科学技术-中医药现代化2026，Vol.28Issue(8)：2463-2470,8.DOI:10.11842/wst.20250929001
声诊分析系统及其观测指标的临床研究分析
Clinical Research Analysis of Sound Diagnosis Analysis System and its Observation Indicators
摘要
Abstract
Objective To explore the auxiliary role of observation indicators in disease diagnosis,syndrome type identification and clinical efficacy evaluation by analyzing the application of the acoustic diagnosis analysis system in clinical research,so as to provide a reference for its clinical application.Methods Based on the China National Knowledge Infrastructure(CNKI)database,the clinical application literatures of the acoustic diagnosis analysis system were systematically reviewed.The indicators involved in the acoustic diagnosis analysis system were divided into four categories:prosodic features,spectral features,sound source features and TCM-specific indicators.The core observation indicators of various features were comprehensively extracted(e.g.,sound duration and DVB for prosodic features;F0 and F1 for spectral features;Jitter and Shimmer for sound source features;Jiao sound and Gong sound for TCM-specific indicators).The clinical application advantages of different feature indicators were revealed through comparative analysis.Results In the clinical trials applying the acoustic diagnosis analysis system,most disease studies focused on the field of lung system diseases.Studies showed that the differences in acoustic diagnosis parameters between clinical patients and normal people were mainly reflected in parameters such as F0-F4,HNR,Jitter and Shimmer;spectral feature indicators had good discriminative efficacy in the diagnosis of various diseases and TCM syndrome types;sound source feature indicators performed prominently in constitution identification;TCM-specific indicators showed unique theoretical value in zang-fu function evaluation,constitution identification and dynamic efficacy monitoring.Conclusion Prosodic feature indicators have insufficient in-depth correlation with disease diagnosis and are less applied;spectral feature indicators have high clinical diagnosis accuracy and are the most widely used;sound source feature indicators play a unique role in constitution identification;TCM-specific indicators serve as a key bridge in the integration of TCM theory and modern technology.关键词
中医闻诊/声诊/语音信号/观测指标Key words
Listening and smelling/Listening diagnosis/Speech signal/Observing targets分类
医药卫生引用本文复制引用
桂朝伟,张娟,宋晓慧,刘孟涵,尹继瑶,王明强,王俊文..声诊分析系统及其观测指标的临床研究分析[J].世界科学技术-中医药现代化,2026,28(8):2463-2470,8.基金项目
国家自然科学基金委员会面上项目(82474393):基于多模态知识图谱构建中医老年体质辨识可解释深度学习模型,负责人:王俊文 （82474393）
中国中医科学院科技创新工程学科与平台建设项目(KYG-202408):中医诊疗装备集成应用与创新研发平台,负责人:王俊文. （KYG-202408）
