• Spectroscopy and Spectral Analysis
  • Vol. 33, Issue 2, 349 (2013)
FAN Yi-chen1、2、*, LU Qi-peng1, DING Hai-quan1, GAO Hong-zhi1, and CHEN Xing-dan1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3964/j.issn.1000-0593(2013)02-0349-05 Cite this Article
    FAN Yi-chen, LU Qi-peng, DING Hai-quan, GAO Hong-zhi, CHEN Xing-dan. Study on the Application of Empirical Mode Decomposition to Noninvasive Hemoglobin Measurement by NIRS[J]. Spectroscopy and Spectral Analysis, 2013, 33(2): 349 Copy Citation Text show less

    Abstract

    To increase the signal-to-noise ratio (SNR) of human near infrared (NIR) spectra, so as to improve the stability and precision of calibration model, the empirical mode decomposition (EMD) method was applied. Eighty-one fingertip absorption curves were collected, with the corresponding clinical examination results obtained immediately. By means of outliers detection and removal, finally 78 samples were determined as the research objects. A three-layer back-propagation artificial neutron network (BP-ANN) model was established and worked for prediction. The results turned out that, through EMD method, the prediction correlation coefficient increased greatly from 0.74 to 0.87. RMSEP was reduced from 12.85 to 8.08 g·L-1. Other indexes were also obviously improved. The overall results sufficiently demonstrate that it is feasible to use EMD method for high SNR pulse wave signals, thus improving the performance of noninvasive hemoglobin calibration models. The application of EMD method can help promote the development of noninvasive hemoglobin monitoring technology.
    FAN Yi-chen, LU Qi-peng, DING Hai-quan, GAO Hong-zhi, CHEN Xing-dan. Study on the Application of Empirical Mode Decomposition to Noninvasive Hemoglobin Measurement by NIRS[J]. Spectroscopy and Spectral Analysis, 2013, 33(2): 349
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