Abstract Signal to noise ratio (SNR) of the spectrum is the overriding factor that limits the accuracy of noninvasive blood component measurement based on spectral analysis. In this paper, we applied the multi-dimensional spectral measurement strategy of the “M+N” theory to the quantitative blood component analysis based on the dynamic spectrum (DS) theory, in the form of increasing the wavelength range of the collected spectrum, and discussed the effects of spectral difference coefficient on measurement accuracy, to investigate the effects of wavelength range on the accuracy. We collected photoplethysmogram (PPG) signals across a broad range (313-1388 nm) using a spectrometer system consisting of multiple light sources and spectrophotometers covering different wavelength range assembled on-site. Using DS data obtained with the optimizing differential extraction method, we established calibration models for hemoglobin concentration. The new calibration model showed that compared with the model used the DS under the generally used range (550-1050 nm), the root mean square error of calibration set (RMSEC) decreased from 10.15 4 g/L to 5.509 g/L, and the correlation coefficient of calibration set (Rc) increased from 0.655 to 0.912. This study shows that the acquisition of signals from a wider wavelength range can improve the accuracy of noninvasive blood component measurement.

中文翻译：

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拓宽频带以提高无创血液成分分析的准确性

摘要 频谱的信噪比（SNR）是限制基于频谱分析的无创血液成分测量准确性的首要因素。在本文中，我们将“M+N”理论的多维光谱测量策略应用到基于动态光谱（DS）理论的血液成分定量分析中，以增加采集光谱的波长范围的形式，并讨论了光谱差异系数对测量精度的影响，研究了波长范围对精度的影响。我们使用由多个光源和覆盖现场组装的不同波长范围的分光光度计组成的光谱仪系统收集了广泛范围 (313-1388 nm) 的光电容积图 (PPG) 信号。使用优化差分提取方法获得的DS数据，我们建立了血红蛋白浓度的校准模型。新的校准模型表明，与在一般使用范围（550-1050 nm）下使用DS的模型相比，校准集的均方根误差（RMSEC）从10.15 4 g/L降低到5.509 g/L，并且校准集的相关系数 (Rc) 从 0.655 增加到 0.912。这项研究表明，从更宽的波长范围采集信号可以提高无创血液成分测量的准确性。校准集的均方根误差（RMSEC）从10.15 4 g/L降低到5.509 g/L，校准集的相关系数（Rc）从0.655增加到0.912。这项研究表明，从更宽的波长范围采集信号可以提高无创血液成分测量的准确性。校准集的均方根误差（RMSEC）从10.15 4 g/L降低到5.509 g/L，校准集的相关系数（Rc）从0.655增加到0.912。这项研究表明，从更宽的波长范围采集信号可以提高无创血液成分测量的准确性。