基于人体气味、声音的中医闻诊气机生物学网络构建及机制探讨

Qi activity inspire the function of life, it propel the interflow of meridians and collaterals. The auscultation and olfaction diagnosis information, connection with the synthesis diagnosis method in TCM, could reflect the inner dysfunction, shows information that hard to notice by objective feelings. The construction and application method of Qi function and biology net mode identification in physical status and viscera function are still need to extent the integration information by add auscultation and olfaction in to get the physical health condition in macroscopic level. And the acquirement of those information need an innovative device to serve the purpose..The study will focus on the Olfaction sensation/gas mode/Qi function biological network construction and voice/auscultation/constitution biological network construction. By invent the coupled device and detection methods, it can quantify the connection and relationship of each detective information and form the “expire turbidity curve”, “air bottles comparation method”, Iconic material detection rate and so on that are compatible with TCM theory. Explore the relationship between each other, test the ability to identify disease type and TCM syndrome pattern. Then specify the Qi function by detail the ascending, desending, open, close with the dataset acquired by the detections described above. In the end, based on the synthetic identification theory in TCM, integrate the Qi function into the synthetic diagnostic TCM Auxiliary Apparatus on Combined Use of Four Diagnosis Methods. Form the quantifiable, detectable equipment and cooperated detection method to find out a way clarify the TCM diagnosis information and expression.

气机的运动推动和激发着人体脏腑经络的各种活动，闻诊信息变化结合四诊合参可判断机体内在变化情况，推断脏腑功能、正邪盛衰和疾病种类；气机信息的变化影响机体状态的平衡。在已建立的闻诊信息辨识人体功能状态及气机信息获取的生物学网络辨识方法及装置的基础上，构建闻诊信息获取的中医气机生物学拓扑关系网；建立典型的气体/气味，声音/体质的多重生物网络的气机识别模式；研究浊出率曲线、气机三罐法、标志性物质检出率之间的关联性、可识别特性。闻声和嗅味的感觉，在信息空间相互作用和相互关联，具有气机升降出入的属性；气味/声音的辨识与望诊、切诊互动；以气体/气味/声音/气机出入人体的理化特性、生理属性、生物学标志物与四诊合参构建可识别的多维辨识网。发展普适的网络模式识别和统计模式识别，运用可获取人体诊断信息关键技术，形成带有标志性检测物的可诠释气机、可检测气机的检测方法及装置。

项目的主要研究内容圆满完成并形成重要研究成果及科学意义如下：气机的运动推动和激发着人体脏腑经络的各种活动，闻诊信息变化结合四诊合参可判断机体内在变化情况，推断脏腑功能、正邪盛衰和疾病种类；气机信息的变化影响机体状态的平衡。在已建立的闻诊信息辨识人体功能状态及气机信息获取的生物学网络辨识方法及装置的基础上，构建闻诊信息获取的中医气机生物学拓扑关系网；建立典型的气体/气味，声音/体质的多重生物网络的气机识别模式；研究浊出率曲线、气机三罐法、标志性物质检出率之间的关联性、可识别特性。闻声和嗅味的感觉，在信息空间相互作用和相互关联，具有气机升降出入的属性；气味/声音的辨识与望诊、切诊互动；以气体/气味/声音/气机出入人体的理化特性、生理属性、生物学标志物与四诊合参构建可识别的多维辨识网。发展普适的网络模式识别和统计模式识别，运用可获取人体诊断信息关键技术，形成带有标志性检测物的可诠释气机、可检测气机的检测方法及装置。

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