光谱学与光谱分析 |
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Application of Wavelet Transform on Iimproving Detecting Precision of the Non-Invasive Blood Components Measurement Based on Dynamic Spectrum Method |
LI Gang1, MEN Jian-long1, 2, SUN Zhao-min1, WANG Hui-quan1, LIN Ling1, TONG Ying1, 3, ZHANG Bao-ju3* |
1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China 2. Clinical Laboratory Devision General Hospital of Tianjin Medical University,Tianjin 300052, China 3. College of Physics & Electronic Information,Tianjin Normal University,Tianjin 300387,China |
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Abstract Time-varying noises in spectra collection process have influence on the prediction accuracy of quantitative calibration in the non-invasive blood components measurement which is based on dynamic spectrum (DS) method. By wavelet transform, we focused on the absorbance wave of fingertip transmission spectrum in pulse frequency band. Then we increased the signal to noise ratio of DS data, and improved the detecting precision of quantitative calibration. After carrying out spectrum data continuous acquisition of the same subject for 10 times, we used wavelet transform de-noising to increase the average correlation coefficient of DS data from 0.979 6 to 0.990 3. BP neural network was used to establish the calibration model of subjects’ blood components concentration values against dynamic spectrum data of 110 volunteers. After wavelet transform de-noising, the correlation coefficient of prediction set increased from 0.677 4 to 0.846 8, and the average relative error was decreased from 15.8% to 5.3%. Experimental results showed that the introduction of wavelet transform can effectively remove the noise in DS data, improve the detecting precision, and accelerate the development of non-invasive blood components measurement based on DS method.
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Received: 2010-05-12
Accepted: 2010-09-27
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Corresponding Authors:
ZHANG Bao-ju
E-mail: wdxyzbj@mail.tjnu.edu.cn
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