Abstract Noninvasive blood component analysis by spectroscopy has broad prospects that based on Dynamic Spectrum (DS) can effectively suppress the influences of individual differences (such as skin, muscle, fat) and the variations of measurement conditions, which shows its potential in the clinical applications. The purpose of this article is to review the starting point and the advances of DS, to assess the current situation of the field and to explore future directions. The principle of DS and the error sources of noninvasive blood component analysis were introduced. An overview of the six stages of noninvasive blood component analysis, including sensing principle, acquisition methods of spectral photoplethysmography (photoplethysmography signal at multiple wavelengths) signals, spectral photoplethysmography (SPPG) preprocessing, DS extraction methods from SPPG, the quality evaluation for DS and modeling methods, was presented. Finally, the existing issues of DS are discussed and the future directions are predicted.

中文翻译：

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用于无创血液成分分析的动态光谱及其进展

摘要 光谱无创血液成分分析具有广阔的前景，基于动态光谱（DS）可以有效抑制个体差异（如皮肤、肌肉、脂肪）和测量条件变化的影响，显示其在临床应用中的潜力。 . 本文的目的是回顾DS的起点和进展，评估该领域的现状并探索未来的方向。介绍了DS的原理和无创血液成分分析的误差来源。概述无创血液成分分析的六个阶段，包括传感原理、光谱光电容积脉搏波（多波长光电容积脉搏波信号）信号的采集方法、光谱光电容积脉搏波（SPPG）预处理、介绍了从 SPPG 中提取 DS 的方法、DS 的质量评估和建模方法。最后，讨论了DS存在的问题并预测了未来的发展方向。