扩展修正Lambert - Beer模型在一氧化碳中毒诊断中的应用

A. Huong, X. Ngu
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引用次数: 8

摘要

我们的目的是证明使用扩展修正Lambert Beer模型(EMLB)检测吸烟人群和不吸烟人群之间平均血氧血红蛋白(SmO2)和碳氧血红蛋白(SmCO)饱和度百分比差异的可行性。这些参数的值是由EMLB和使用开发的拟合程序优化的测量数据之间产生最接近一致的值给出的。该拟合算法以520 ~ 600 nm波长范围内的吸光血红蛋白物种消光系数为背景信息。5名吸烟者和4名非吸烟者在休息状态下左手拇指的反射光谱测量显示,吸烟者的SmO2和SmCO百分比平均值分别为81.9±8.8%和16.2±4.8%。与此同时,非吸烟人群的平均SmCO值较高,为86.5±1.6%,平均SmCO值较低,为11.7±1.6%。将这些值与文献报道的值进行比较。这项研究的结论是,所提出的模型和拟合策略能够检测吸烟和不吸烟志愿者血液饱和度百分比的差异,因此有可能用于临床检测男性一氧化碳中毒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noninvasive diagnosis of carbon monoxide poisoning using Extended Modified Lambert Beer Model
We aim to demonstrate the feasibility of using Extended Modified Lambert Beer model (EMLB) to detect differences in percent mean blood oxyhemoglobin (SmO2) and carboxyhemoglobin (SmCO) saturations between smoking and nonsmoking populations. The value of these parameters is given by those that produced the closest agreement between the EMLB and the measured data optimized using the developed fitting routine. This fitting algorithm used extinction coefficients of light absorbing hemoglobin species in the wavelength range of 520-600 nm as the background information. The reflectance spectroscopy measurement on left thumb of five smokers and four nonsmokers at rest condition revealed percent SmO2 and SmCO with mean value of 81.9 ± 8.8% and 16.2 ± 4.8%, respectively, for smoking population. Meanwhile a higher mean SmO2 of 86.5 ± 1.6% and lower mean SmCO of 11.7 ± 1.6% are observed for nonsmoking individuals. These values are compared to that reported in the literature. This study concluded that the proposed model and fitting strategy is able to detect differences in percent blood saturations of smoking and nonsmoking volunteers, hence potentially be used to clinically detect carbon monoxide poisoning in men.
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