声诊分析系统及其观测指标的临床研究分析OA

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.