【摘要】：人體血糖濃度的有效控制對(duì)一個(gè)人的健康至關(guān)重要,這是因?yàn)檠鞘侨梭w能量的直接來源,不正常的血糖濃度可能導(dǎo)致一系列的醫(yī)學(xué)綜合癥,給病人帶來身體上的損傷。當(dāng)今醫(yī)院常用的生化血糖檢測(cè)系統(tǒng)能夠提供比較準(zhǔn)確的血糖濃度測(cè)量值,但這種方法的最大缺陷是需要進(jìn)行血樣采集,不能進(jìn)行連續(xù)與在線監(jiān)測(cè)。這種有創(chuàng)的血糖檢測(cè)方法不僅給病人帶來身體上的疼痛,而且可能傳染一些體液傳染性疾病。因此,無創(chuàng)的血糖監(jiān)測(cè)系統(tǒng)成為研究的熱點(diǎn)。 本文提出了一種新的無創(chuàng)血糖監(jiān)測(cè)方法—基于分布式近紅外多波長(zhǎng)傳感器陣列及信息融合技術(shù)的無創(chuàng)血糖監(jiān)測(cè)。本論文的特色在于把多波長(zhǎng)激光陣列及多傳感器信息融合技術(shù)應(yīng)用于血糖濃度監(jiān)測(cè)中。這種人體無創(chuàng)紅外多波長(zhǎng)傳感器陣列信息融合的監(jiān)測(cè)方法能彌補(bǔ)單波長(zhǎng)檢測(cè)的缺陷,使其能從多種干擾因素中動(dòng)態(tài)得到足夠的可用血糖信息。同時(shí)該系統(tǒng),采用了分布式監(jiān)測(cè)部位設(shè)計(jì)的思想,把采集點(diǎn)設(shè)置在不同的部位,能避免多組波長(zhǎng)在同一部位之間相互干擾,從而影響血糖連續(xù)濃度監(jiān)測(cè)的準(zhǔn)確性。在系統(tǒng)中采用了多波長(zhǎng)傳感器信息融合的思想,用BP神經(jīng)網(wǎng)絡(luò)的方法融合多波長(zhǎng)傳感器陣列采集的信息來建立標(biāo)定與測(cè)量模型。為了實(shí)現(xiàn)連續(xù)監(jiān)測(cè)的目的,針對(duì)紅外多波長(zhǎng)傳感器之間的各種組合工作方式,分別建立標(biāo)定模型,這樣做的目的是實(shí)現(xiàn)多窗口血糖吸收峰值檢測(cè)信息的融合,避免血糖與其它物質(zhì)的重疊吸收所造成的信息誤差；也可以在工作方式上實(shí)現(xiàn)單組傳感器組合輪換掃描工作,可以有效避免全部激光器件長(zhǎng)時(shí)間工作發(fā)熱損壞的風(fēng)險(xiǎn)。 本論文的實(shí)驗(yàn)工作主要分為葡萄糖溶液模擬檢測(cè)的儀器模型實(shí)驗(yàn)和人體血糖無創(chuàng)檢測(cè)與連續(xù)監(jiān)測(cè)實(shí)驗(yàn)。在這兩組實(shí)驗(yàn)中分別得到了1200組和142組實(shí)驗(yàn)數(shù)據(jù),并將其樣本用于建立標(biāo)定模型。在人體無創(chuàng)血糖監(jiān)測(cè)實(shí)驗(yàn)中,建立的標(biāo)定模型的均方根預(yù)測(cè)誤差(RMSEP)為0.088mmol/L,與商品家用血糖儀檢測(cè)數(shù)據(jù)的相關(guān)系數(shù)(CC)為0.94.,與單波長(zhǎng)血糖濃度檢測(cè)方法相比,本文設(shè)計(jì)的方法能很好地提高血糖檢測(cè)準(zhǔn)確性和精度,并可用于連續(xù)監(jiān)測(cè)。因此,該論文對(duì)于血糖無創(chuàng)監(jiān)測(cè)研究及改善糖尿病人的自我治療與血糖控制有重要的實(shí)用價(jià)值和科學(xué)意義。
[Abstract]:The effective control of human blood glucose concentration is very important to one's health because blood sugar is the direct source of human energy. Abnormal blood glucose concentration may lead to a series of medical syndrome and bring physical damage to patients. The biochemical blood glucose detection system commonly used in hospitals today can provide more accurate blood glucose concentration measurement, but the biggest defect of this method is that blood samples need to be collected and can not be continuously and on-line monitoring. This invasive method of blood sugar detection not only brings physical pain to patients, but also can infect some humoral infectious diseases. Therefore, the non-invasive blood glucose monitoring system has become the focus of research. In this paper, a new noninvasive blood glucose monitoring method based on distributed near infrared multi-wavelength sensor array and information fusion technology is proposed. The characteristic of this paper is that multi-wavelength laser array and multi-sensor information fusion technology are applied to blood glucose concentration monitoring. This non-invasive monitoring method of infrared multi-wavelength sensor array information fusion can make up for the defect of single-wavelength detection and can dynamically obtain enough available blood glucose information from a variety of interference factors. At the same time, this system adopts the idea of distributed monitoring part design, and sets the collection points in different parts, which can avoid the interference between multiple wavelengths in the same part, and thus affect the accuracy of continuous monitoring of blood glucose concentration. The idea of multi-wavelength sensor information fusion is adopted in the system, and the calibration and measurement model is established by using the method of BP neural network to fuse the information collected by the multi-wavelength sensor array. In order to achieve the purpose of continuous monitoring, the calibration models are established for various combined working modes of infrared multi-wavelength sensors. The purpose of this calibration model is to achieve the fusion of multi-window blood sugar absorption peak detection information. Avoid the information error caused by the overlapping absorption of blood sugar and other substances; It can also work in a single group of sensors combined with rotating scanning, which can effectively avoid the risk of thermal damage caused by long-time operation of all laser devices. The experimental work of this thesis is mainly divided into the instrument model experiment of glucose solution simulation and the non-invasive and continuous monitoring experiment of human blood glucose. In these two groups of experiments, 1200 groups of experimental data and 142 groups of experimental data were obtained, and their samples were used to establish the calibration model. In the non-invasive blood glucose monitoring experiment, the root mean square prediction error (RMSEP) of the calibration model is 0.088 mmol / L, and the correlation coefficient (CC) between the calibration model and the measured data is 0.94.The correlation coefficient of the calibration model is 0.088 mmol / L. Compared with the single wavelength glucose detection method, the method designed in this paper can improve the accuracy and accuracy of blood glucose detection, and can be used for continuous monitoring. Therefore, this paper has important practical value and scientific significance for noninvasive monitoring of blood glucose and improvement of self-treatment and blood glucose control in diabetic patients.
【學(xué)位授予單位】：蘭州大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2012
【分類號(hào)】：R318.6

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本文編號(hào)：2453556