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Accurate, in-Vivo NIR measurement of skeletal muscle oxygenation through fat

机译:精确的体内NIR测量通过脂肪的骨骼肌氧合

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Noninvasive near infrared (NIR) spectroscopic measurement of muscle oxygenation requires the penetration of light through overlying skin and fat layers. We have previously demonstrated a dual-light source design and orthogonalization algorithm that corrects for inference from skin absorption and fat scattering. To achieve accurate muscle oxygen saturation (SmO_2) measurement, one must select the appropriate source-detector distance (SD) to completely penetrate the fat layer. Methods: Six healthy subjects were supine for 15min to normalize tissue oxygenation across the body. NIR spectra were collected from the calf, shoulder, lower and upper thigh muscles with long SD distances of 30mm, 35mm, 40mm and 45mm. Spectral preprocessing with the short SD (3mm) spectrum preceded SmO_2 calculation with a Taylor series expansion method. Three-way ANOVA was used to compare SmO_2 values over varying fat thickness, subjects and SD distances. Results: Overlying fat layers varied in thickness from 4.9mm to 19.6mm across all subjects. SmO_2 measured at the four locations were comparable for each subject (p=0.133), regardless of fat thickness and SD distance. SmO_2 (mean±std dev) measured at calf, shoulder, low and high thigh were 62±3%, 59±8%, 61±2%, 61±4% respectively for SD distance of 30mm. In these subjects no significant influence of SD was observed (p=0.948). Conclusions: The results indicate that for our sensor design a 30mm SD is sufficient to penetrate through a 19mm fat layer and that orthogonalization with short SD effectively removed spectral interference from fat to result in a reproducible determination of SmO_2.
机译:肌肉氧合的非侵入式近红外(NIR)光谱测量要求光线穿过上层皮肤和脂肪层。我们之前已经展示了一种双光源设计和正交化算法,该算法可以校正皮肤吸收和脂肪散射的推断。为了实现准确的肌肉氧饱和度(SmO_2)测量,必须选择适当的源-探测器距离(SD)以完全穿透脂肪层。方法:六名健康受试者仰卧15分钟,以使整个身体的组织氧合正常化。从小腿,肩膀,大腿下部和上部大腿肌肉收集NIR光谱,SD距离长30mm,35mm,40mm和45mm。使用短SD(3mm)光谱进行光谱预处理在采用Taylor级数展开法进行SmO_2计算之前。三向方差分析用于比较不同脂肪厚度,受试者和SD距离下的SmO_2值。结果:所有受试者的上方脂肪层厚度从4.9mm到19.6mm不等。无论脂肪厚度和SD距离如何,在四个位置测量的SmO_2对每个受试者都是可比的(p = 0.133)。对于30mm的SD距离,在小腿,肩膀,大腿和大腿下部测得的SmO_2(平均值±标准偏差)分别为62±3%,59±8%,61±2%,61±4%。在这些受试者中,未观察到SD的显着影响(p = 0.948)。结论:结果表明,对于我们的传感器设计,30mm SD足以穿透19mm的脂肪层,并且使用短SD进行正交能够有效消除脂肪的光谱干扰,从而可重复测定SmO_2。

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