CAJ | 학술논문

血细胞压积和平均血红蛋白浓度的检测对于心脑血管疾病以及贫血等疾病的预防和治疗起着非常重要的作用，为了能够无创、准确的对血细胞压积和平均血红蛋白浓度进行检测，本研究提出了一种基于光谱技术的检测方法。经解剖学研究表明，在微循环中，血流变的异常以及血液粘稠度的改变均能引起舌象的变化，即舌象和血液成分之间存在一定的相关性，所以本研究通过采集240例志愿者舌尖反射光谱，同时拍摄志愿者舌体图片和记录生化分析结果。在进行数学建模前，首先将240例志愿者随机分为校正集和验证集，运用偏最小二乘分别建立数学模型，校正集预测值和生化分析真实值之间相关系数分别为0.998和0.938，运用所建数学模型对验证集未知样本进行预测，验证集未知样本的预测结果与生化分析真实值之间相关系数分别为0.979和0.883，平均相对误差分别为1.65％和1.88％，均方根误差分别为4.066和4.139，由实验结果可见，所建立的模型可以较好的对HCT和MCHC进行预测，同时实验结果也表明近红外光谱分析结合偏最小二乘方法有可能能够为血细胞压积和平均血红蛋白浓度的检测提供一种无创的检测方法。
혈세포압적화평균혈홍단백농도적검측대우심뇌혈관질병이급빈혈등질병적예방화치료기착비상중요적작용，위료능구무창、준학적대혈세포압적화평균혈홍단백농도진행검측，본연구제출료일충기우광보기술적검측방법。경해부학연구표명，재미순배중，혈류변적이상이급혈액점주도적개변균능인기설상적변화，즉설상화혈액성분지간존재일정적상관성，소이본연구통과채집240례지원자설첨반사광보，동시박섭지원자설체도편화기록생화분석결과。재진행수학건모전，수선장240례지원자수궤분위교정집화험증집，운용편최소이승분별건립수학모형，교정집예측치화생화분석진실치지간상관계수분별위0.998화0.938，운용소건수학모형대험증집미지양본진행예측，험증집미지양본적예측결과여생화분석진실치지간상관계수분별위0.979화0.883，평균상대오차분별위1.65％화1.88％，균방근오차분별위4.066화4.139，유실험결과가견，소건립적모형가이교호적대HCT화MCHC진행예측，동시실험결과야표명근홍외광보분석결합편최소이승방법유가능능구위혈세포압적화평균혈홍단백농도적검측제공일충무창적검측방법。
Hematocrit(HCT) and mean hemoglobin concentration(MCHC) play a very important role in preventing cardiovascu-lar disease and anemia. A method was developed on the basis of spectroscopy to detect HCT and MCHC non-invasively and accu-rately. The anatomical study showed that the blood rheology abnormalities and blood viscosity ’s changes can cause the changes of tongue ,so there is a certain correlation between tongue and blood components. Reflectance spectrums from the tongue tips of 240 volunteers were collected ,then the tongue pictures were captured and the biochemical analysis results were recorded at the same time. The 240 samples were separated into two parts :calibration sample and test sample. Spectra were then subjected to a partial least squares regression (PLSR) analysis to develop mathematics models for predicting HCT levels. The correlation be-tween the data and prediction of HCT and MCHC yielded calibration samples value of 0.998 and 0.938. HCT and MCHC levels of test samples predicted by this model from Visible-Near infrared spectra provided a coefficient of determination in prediction of 0.979 and 0.883 with an average relative error of prediction of 1.65% and 1.88% ,a root mean square error of prediction of 4.066 and 4.139. From the experiment results we can see that the model which was built before can better predict the HCT and MCHC ,and the results also showed that spectrometry method may provide a promising approach to the noninvasive measure-ment of human HCT and MCHC with a combination of PLSR analysis.