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Fourier transform near infrared spectroscopy: a newly developed, non-invasive method to measure body fat : non-invasive body fat content measurement using FT-NIR.

机译:傅里叶变换近红外光谱:一种新开发的非侵入性方法来测量人体脂肪:使用FT-NIR进行非侵入性人体脂肪含量测量。

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摘要

An FT-NIR technique is reported to provide a fast, accurate and low cost method of determining in-vivo human body fat content. The body fat content of 353 healthy subjects (154 males and 199 females) of various height, weight, and age were measured by FT-NIR and compared to 420 subjects investigated by magnetic resonance imaging (MRI). The procedure involved scanning each subject's upper ear that provided a necessary reflectance surface and proved representative of the subject's subcutaneous fat content. The average FT-NIR spectrum was compared to a reference mixture with known and similar fat content and composition to that of humans. The FT-NIR response was incorporated into an empirical equation using the ratio of subcutaneous to total body fat from MRI data, taking into account the subject's gender, height, weight and age. The results on the two data sets were similar and demonstrated that the FT-NIR technique can be used to obtain a measure of the body fat content of individuals, similar to that using MRI. In addition, the FT-NIR was used to more accurately monitor the fat content of sleep apnea patients.
机译:据报道,FT-NIR技术为确定体内人体脂肪含量提供了一种快速,准确和低成本的方法。通过FT-NIR测量了353名不同身高,体重和年龄的健康受试者(154名男性和199名女性)的体内脂肪含量,并将其与420名通过磁共振成像(MRI)研究的受试者进行了比较。该过程涉及扫描每个受试者的上耳,该上耳提供必要的反射表面并证明代表该受试者的皮下脂肪含量。将平均FT-NIR光谱与参考混合物进行比较,该参考混合物的脂肪含量和组成与人类已知和相似。 FT-NIR响应使用MRI数据中皮下脂肪与全身脂肪的比率纳入经验公式,并考虑到受试者的性别,身高,体重和年龄。这两个数据集上的结果相似,证明了FT-NIR技术可用于测量个体的体内脂肪含量,与使用MRI相似。此外,FT-NIR用于更准确地监测睡眠呼吸暂停患者的脂肪含量。

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