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Optimal hemoglobin extinction coefficient data set for near-infrared spectroscopy

机译:近红外光谱的最佳血红蛋白消光系数数据集

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摘要

Extinction coefficient (ε) is a critical parameter for quantification of oxy-, deoxy-, and total-hemoglobin concentrations (Δ[HbO2], Δ[Hb], Δ[tHb]) from optical measurements of Near-infrared spectroscopy (NIRS). There are several different ε data sets which were frequently used in NIRS quantification. A previous study reported that even a small variation in ε could cause a significant difference in hemodynamic measurements. Apparently the selection of an optimal ε data set is important for NIRS. We conducted oxygen-state-varied and blood-concentration-varied model experiments with 57 human blood samples to mimic tissue hemodynamic variations. Seven reported ε data sets were evaluated by comparisons between quantifications and assumed values. We found that the Moaveni et al (1970)’ ε data set was the optimal one, the NIRS quantification varied significantly among different ε data sets and parameter Δ[tHb] was most sensitive to ε data sets selection.
机译:消光系数(ε)是从近红外光谱(NIRS)的光学测量中定量测定血红蛋白,氧化血和脱氧血红素浓度(Δ[HbO2],Δ[Hb],Δ[tHb])的关键参数。 NIRS量化中经常使用几种不同的ε数据集。先前的一项研究报告说,即使ε的微小变化也可能导致血液动力学测量值的显着差异。显然,选择最佳ε数据集对NIRS很重要。我们对57种人体血液样本进行了氧状态可变和血液浓度可变的模型实验,以模拟组织的血液动力学变化。通过定量和假定值之间的比较评估了七个报告的ε数据集。我们发现Moaveni等人(1970)的ε数据集是最佳的,其NIRS量化在不同的ε数据集之间差异很大,并且参数Δ[tHb]对ε数据集的选择最敏感。

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