發(fā)布時間：2018-08-07 15:07

【摘要】：研究目的:本課題在課題組前期搭建人體超微弱發(fā)光檢測平臺的基礎(chǔ)上,優(yōu)化人體手指末端生物發(fā)光的檢測技術(shù)指標(biāo),并基于人體生物光子理論研究手指末端生物光子輻射與肺氣虛證、痰熱壅肺證的相關(guān)性。研究內(nèi)容:以肺氣虛證和痰熱壅肺證為研究對象,以健康人為對照組,利用人體超微弱發(fā)光檢測系統(tǒng),檢測人體手指末端的生物發(fā)光強度,研究手指生物光子輻射與肺氣虛證和痰熱壅肺證的相關(guān)性,探討肺氣虛證、痰熱壅肺證定量化判別的可行性。研究結(jié)果:基于人體光子輻射的量子態(tài)特征通過公式擬合,應(yīng)用MATLAB軟件分析獲得12個生物光子輻射特征指標(biāo),分別為Mean、VAR、Intercept、slope、Q、Fano、α、γ、θ、φ、SSI、SSR。通過探討手指末端生物發(fā)光特征指標(biāo)的變化,發(fā)現(xiàn)肺氣虛證組與健康組、痰熱壅肺證與健康組、肺氣虛證組與痰熱壅肺證組存在差異性。進一步對肺氣虛證組、痰熱壅肺證與健康組進行定量化可行性分析,研究結(jié)果發(fā)現(xiàn)BP神經(jīng)網(wǎng)絡(luò)能較好的區(qū)分肺氣虛證組與健康組、痰熱壅肺證組與健康組、肺氣虛證組與痰熱壅肺證組,各組的判別正確率都在80%以上。為了進一步驗證此結(jié)果,我們選用判別分析方法再次對肺氣虛證組、痰熱壅肺證組與健康人組進行判別分析,判別正確率也均在75%以上。運用ROC曲線方法篩選出能較好表征肺氣虛證組與健康組、痰熱壅肺證組與健康組的生物光子輻射的判別指標(biāo)。結(jié)論:通過檢測手指末端生物光子輻射強度、分析生物光子輻射特征指標(biāo)的變化發(fā)現(xiàn)肺氣虛證組與健康組、痰熱壅肺證與健康組、肺氣虛證組與痰熱壅肺證組存在差異性。運用不同判別方法對肺氣虛證組、痰熱壅肺證組與健康組進行判別分類,發(fā)現(xiàn)基于手指末端生物光子輻射的參數(shù)指標(biāo)能夠較好的區(qū)分肺氣虛證組、痰熱壅肺證組與健康組。提示手指末端生物光子輻射能夠用于中醫(yī)證候的相關(guān)性研究,為中醫(yī)證候的定量化研究提供一種可行性手段。
[Abstract]:Objective: to optimize the bioluminescence detection technology of human finger end on the basis of setting up the human ultra-weak luminescence detection platform in the early stage of the research group. On the basis of human biological photon theory, the correlation between biological photon radiation at the end of finger and lung qi deficiency syndrome and phlegm heat blocking lung syndrome was studied. Research contents: taking lung qi deficiency syndrome and phlegm heat blocking lung syndrome as research objects, and taking healthy people as control group, the bioluminescence intensity at the end of human finger was detected by using the human body ultraweak luminescence detection system. To study the correlation between biological photon radiation of fingers and lung qi deficiency syndrome and phlegm heat blocking lung syndrome, and to explore the feasibility of quantitative discrimination of lung qi deficiency syndrome and phlegm heat blocking lung syndrome. Results: based on the formula fitting of the quantum state characteristics of human photon radiation, 12 biological photon radiation characteristic indexes were obtained by MATLAB software, namely, mean VARA Interceptor SSRs, 偽, 緯, 胃 and 蠁 SSRs. Through the study of the changes of bioluminescence characteristics at the end of the finger, it was found that there were differences between the lung qi deficiency syndrome group and the healthy group, the phlegm heat stagnation lung syndrome group and the healthy group, the lung qi deficiency syndrome group and the phlegm heat stagnation lung syndrome group. Further quantitative feasibility analysis of lung qi deficiency syndrome group, phlegm heat stagnation lung syndrome group and healthy group was carried out. The results showed that BP neural network could distinguish between lung qi deficiency syndrome group and healthy group, phlegm heat accumulation lung syndrome group and healthy group. The correct rate of differentiation of lung qi deficiency group and phlegm heat blocking lung syndrome group were above 80%. In order to further verify this result, we used the discriminant analysis method again to the lung qi deficiency syndrome group, phlegm heat obstruction lung syndrome group and healthy people group, the discriminant accuracy was above 75%. The ROC curve was used to screen out the discriminant indexes of biological photon radiation which could better characterize the lung qi deficiency syndrome group and healthy group, phlegm heat stagnation lung syndrome group and healthy group. Conclusion: by detecting the biological photon radiation intensity at the end of the finger and analyzing the change of biological photon radiation characteristic index, it is found that there are differences between the lung qi deficiency syndrome group and the healthy group, the phlegm heat stagnation lung syndrome group and the healthy group, the lung qi deficiency syndrome group and the phlegm heat stagnation lung syndrome group. Different discriminant methods were used to distinguish lung qi deficiency syndrome group, phlegm heat obstruction lung syndrome group and healthy group. It was found that the parameter indexes based on biological photon radiation at the end of finger could distinguish between lung qi deficiency syndrome group, phlegm heat stagnation lung syndrome group and healthy group. It is suggested that biological photon radiation at the end of finger can be used to study the correlation of TCM syndromes and provide a feasible means for the quantitative study of TCM syndromes.
【學(xué)位授予單位】：山東中醫(yī)藥大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2016
【分類號】：R259

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