Yang Ye, Soyemi Olusola, Scott Peter J, Landry Michelle R, Lee Stuart M, Stroud Leah, Soller Babs R
Opt Express. 2007 Oct 17;15(21):13715-30. doi: 10.1364/oe.15.013715.
A method to non-invasively and quantitatively measure muscle oxygen saturation (SmO(2)) using broadband continuous-wave diffuse reflectance near infrared (NIR) spectroscopy is presented. The method obtained SmO(2) by first correcting NIR spectra for absorption and scattering of skin pigment and fat, then fitting to a Taylor expansion attenuation model. A non-linear least squares optimization algorithm with set boundary constraints on the fitting parameters was used to fit the model to the acquired spectra. A data preprocessing/optimization scheme for accurately determining the initial values needed for the optimization was also employed. The method was evaluated on simulated muscle spectra with 4 different scattering properties, as well as on in vivo forearm spectra from 5 healthy volunteer subjects during arterial occlusion. Measurement repeatability was assessed on 24 healthy volunteers with 5 repeated measurements, each separated by at least 48 hours.
提出了一种使用宽带连续波漫反射近红外(NIR)光谱技术无创定量测量肌肉氧饱和度(SmO₂)的方法。该方法首先对近红外光谱进行皮肤色素和脂肪吸收及散射校正,然后拟合泰勒展开衰减模型来获取SmO₂。使用对拟合参数设置边界约束的非线性最小二乘优化算法将模型拟合到采集的光谱上。还采用了一种数据预处理/优化方案来准确确定优化所需的初始值。该方法在具有4种不同散射特性的模拟肌肉光谱上进行了评估,以及在5名健康志愿者受试者动脉闭塞期间的体内前臂光谱上进行了评估。对24名健康志愿者进行了测量重复性评估,进行了5次重复测量,每次测量间隔至少48小时。