A Spectrum Extraction Method Based on Uncertainty in Noninvasive Blood Components Examinaton

作者：Lin Ling^*; Xiong Bo; Zhao Shuang qi; Liu Gui li; Wang Xiao fei; Li Gang

来源：Spectroscopy and Spectral Analysis, 2013, 33(2): 459-463.

DOI：10.3964/j.issn.1000-0593(2013)02-0459-05

• Uncertainty
• Photoplethysmography
• Blood components
• Dynamic spectrum
• Oxygen saturation

An improved spectrum extraction method is proposed based on the dynamic spectrum theory to improve the precision. First, the drift baseline is fitted to restrain the effect of relative motion between the finger and the probe. Then, the spectrum is extracted using the square-sum-root method as a replacement of the peak-peak value method to reduce the impact of system random error. Taking the measurement of oxygen saturation for instance, uncertainty analysis is performed for the oxygen saturation coefficient Q. Compared with the peak-peak value method, the square-sum-root method can reduce the uncertainty of oxygen saturation coefficient Q to 38% of the original value. Ten data sets were sampled from ten volunteers, and the uncertainty of the coefficient Q obtained using the two methods was directly evaluated and compared. The average ratio of the Q uncertainty by the two methods turned to be 42%. Both the theoretical analysis and the experimental results show that the square-sum-root method proposed can be used to extract the effective spectra more accurately from the photoplethysmography, suggesting a meaningful progress in noninvasive blood components measurement.

• 出版日期2013-2
• 单位天津大学