基于气相色谱-声表面波传感器联用技术的中医脾胃证候辨识
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国家重点研发计划项目(2018YFC1707701,2018YFC1707602)


Identification of Traditional Chinese Medicine Syndromes of Spleen and Stomach Based on Gaseous Phase Chromatography Combined with Surface Acoustic Wave Sensor
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    摘要:

    目的:建立以呼出气为检测目标的基于气相色谱-声表面波传感器联用的中医闻诊系统,用于中医脾胃证候的辨识。方法:通过气相色谱-声表面波传感器联用的方法建立中医闻诊系统,采用气袋收集112例临床脾胃异常与162例脾胃无异常被试者的呼出气,利用该中医闻诊系统对所收集的呼出气进行检测分析,并通过116例受试者进行模型验证,建立呼出气与脾胃证候的关系模型。结果:利用人工神经网络建立了被试呼出气与脾胃异常的关系模型,该模型的ROC曲线下面积达到了0.930,对脾气虚、脾胃湿热和脾胃虚寒等证候的辨识准确率均达84%以上。结论:通过所建立的中医闻诊系统,建立了一种可经由检测呼出气的手段对脾胃异常进行中医证候辨识的新型临床辅助诊断系统。

    Abstract:

    To establish a traditional Chinese medicine (TCM) listening and smelling system based on gaseous phase chromatography combined with surface acoustic wave sensor (SAW),which aims to establish a test target for exhaled breath and can be used to identify the TCM syndromes of spleen and stomach.Methods:TCM listening and smelling system was established by using a combination of gaseous phase chromatography and SAW sensor.An air bag was used to collect the expiratory gas of 112 clinical spleen and stomach abnormalities and 162 patients with no abnormal spleen and stomach.The expiratory gas was detected and analyzed by TCM listening and smelling system,and 116 subjects were used to verify the model and to establish a model of the relationship between expiratory gas and spleen and stomach syndrome.Results:The model of the relationship between expiratory gas and abnormal spleen and stomach was constructed by using artificial neural network.The area under ROC curve of the model reached 0.930,and the accuracy of identifying the syndromes of deficiency of spleen qi,dampness-heat of spleen and deficiency and coldness of spleen and stomach reached more than 84%.Conclusion:Through the established TCM listening and smelling system,a new type of clinical auxiliary diagnosis system was established for identifying spleen and stomach abnormalities by means of establishing a detecting expiratory gas.

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陈星,陈璟,陈超,董浩,傅炜,李莹,陈泽涛,卢妍利,刘军,刘清君.基于气相色谱-声表面波传感器联用技术的中医脾胃证候辨识[J].世界中医药,2020,(11).

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  • 收稿日期:2020-05-10
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  • 在线发布日期: 2020-06-25
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