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面向中医闻诊的智能化技术研究

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中医闻诊,是各代医家凭听觉、嗅觉诊疗患者声音如语言、呼吸、咳嗽、嗳气、太息、喷嚏及肠鸣等各种声响及气味的异变来辨别邪正虚实及脏腑病变的经验成果。传统中医闻诊是医生凭借自身丰富的临床经验听闻患者声音及气味从而辨别证型及疾病,主观性较强且诊断结果易受外界因素干扰,缺乏统一衡量标准,因此闻诊客观化研究具有较大意义。当代科技发展迅速,国内外学者对于闻诊现代化技术的研究有了一定的进展,通过信号分析提取患者声音、气味特征,而后利用现代化技术手段,如运用科学仪器对患者声音、气味分析、人工智能机器学习及深度学习方法等推动闻诊现代化进程。从传统中医闻诊理论研究、当代国内外闻诊技术等方面总结概述闻诊智能化技术研究的进展。
Research on Intelligent Technology of Ausculation and Olfaction in Traditional Chinese Medicine
The ausculation and olfaction of traditional Chinese medicine is the experience of all generations of doctors who use hearing and smelling to diagnose and treat patients'voices and odours,such as language,breathing,cough,belching,odour,ex-cessive breathing,sneezing and bowel sounds,to identify the deficiency and excess of evil and healthy Qi and Zang-Fu organ diseases.The traditional Chinese medicine ausculation and olfaction is that doctors listen to patients'voices and smell their odours based on their rich clinical experience to identify syndrome types and diseases.It is highly subjective and the diagnosis results are easily disturbed by external factors,lacking a unified measurement standard.Therefore,the research on the objectification of ausculation and olfaction is of great significance.With the rapid development of contemporary science and technology,scholars at home and abroad have made some progress in the research of modern technology of ausculation and olfaction.They extract the pa-tient's voice and odour characteristics through signal analysis,and then use modern technical means,such as using scientific in-struments to analyze the patient's voice and odour,machine learning and deep learning methods in artificial intelligence,so as to promote the modernization of ausculation and olfaction.This paper summarized the progress of the research on the intelligent technology of ausculation and olfaction in terms of the theoretical research of traditional Chinese medicine ausculation and olfac-tion,and the contemporary technology of ausculation and olfaction at home and abroad.

ausculation and olfactionintelligent technologysignal analysisartificial intelligence

门韶洋、陈绿洁、赖童、王伟、张洪来

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广州中医药大学医学信息工程学院,广东广州 510006

中医闻诊 智能化技术 信号分析 人工智能

国家重点研发计划中医药现代化专项广东省基础与应用基础研究基金自然科学基金面上项目广东省中医药局科研项目

2019YFC17104022023A151501131620231132

2024

中华中医药学刊
中华中医药学会 ,辽宁中医药大学

中华中医药学刊

CSTPCD北大核心
影响因子:1.007
ISSN:1673-7717
年,卷(期):2024.42(8)