通过空间分辨率的NIR光谱学与多频生物阻抗精度进行体质成分分析
Evgeny Shirshin1,2, Boris Yakimov1,3, Denis Davydov1,3
1Faculty of Physics, M.V. Lomonosov Moscow State University, 1-2 Leninskie Gory, 119991 Moscow, Russia. eshirshin@gmail.com.
Analytical methods : advancing methods and applications
|December 15, 2023
概括
近红外光谱学 (NIRS) 显示了身体组成分析的提高准确性. 结合多个距离和生理/光学特征,可以提高脂肪和瘦肉质量的预测,接近多频生物阻抗分析的精度.
科学领域:
- 生物医学工程 生物医学工程
- 生理学 生理学 生理学
- 医疗成像医学成像
背景情况:
- 近红外光谱 (NIRS) 是一种非侵入性的光学技术.
- 与黄金标准相比,目前的NIRS身体组成分析面临的准确性限制.
- 准确的身体成分评估对于健康和健身监测至关重要.
研究的目的:
- 提高NIRS用于确定人体组成 (脂肪和瘦肉质量) 的准确性.
- 研究多个源探测器距离和联合生理/光学特征对NIRS准确性的影响.
主要方法:
- 采用近红外光谱法,使用不同的源探测器分离.
- 综合生理和光学数据用于分析.
- 在292个个体的队列中,与多频生物阻抗分析 (BIA) 验证了结果.
主要成果:
- 获得的平均绝对误差为3.5%的脂肪含量和3.3%的软瘦质量.
- 证明了与参考BIA方法的高相关系数 (r = 0.93).
- 通过综合方法显著提高了NIRS准确性.
结论:
- 增强的NIRS方法为身体成分分析提供了可靠和独立的方法.
- NIRS的精度接近于先进的多频BIA的精度.
- 这种技术有望为可访问和准确的身体成分评估提供希望.
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