The Quality Assessment and Selection of Dynamic Spectrum Signal
LI Gang1, FU Zhi-gang2, GUAN Yang2, LIN Ling3, LI Gang3, ZHAO Jing4, BI Ping1, 3*
1. Biomedical Engineering and Technology Department, Tianjin Medical University, Tianjin 300070, China 2. Center of Health Examination, No. 254 Hospital of Chinese People’s Liberation Army, Tianjin 300142, China 3. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin Key Laboratory of Biomedical Detecting Techniques & Instruments, Tianjin University, Tianjin 300072, China 4. Institute of Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
Abstract：Near infrared spectroscopy analysis, as a kind of nondestructive real-time continuous detection method, has provided ideas for the noninvasive measurement of blood components. In this article, in order to ensure the accuracy and reliability of the collected spectral data, the 405 acquired samples are evaluated by combining valid single edge counts of dynamic spectrum pulse wave in the time domain with the quality factor Q value of dynamic spectrum pulse wave in the frequency domain. As a result, the abnormal samples are removed and 218 cases of valid samples are selected. We use the dynamic spectrum data of the selected 218 samples as the experimental group and another 218 samples as a control group modeling analysis with the hemoglobin concentration of the corresponding samples. Each group select 200 cases of samples as a calibration set and 18 cases of sample as a prediction set. The prediction accuracy of the experimental group reach 93.8%. The prediction accuracy of the two control group respectively evaluated by the valid single edge counts or Q value are 65.6% and 67.7% and the three unfiltered control groups are 53.7%, 33.3%, 42.6% respectively. The prediction mean relative error (MSEP) of the experimental group is 0.067 5, the other two control groups are 0.072 3 and 0.072 2, and the other three control groups are 0.082.3, 0.078 9, 0.082 8. So compared with another control groups, the MSEP of the experimental group is the minimal. The results show that the filtering method of the spectral data samples through combining time domain with frequency domain is reliable and effective.this will provide a method to the precision research of dynamic spectrum noninvasive detection.
Key words：Dynamic spectrum;Quality evaluation;Q value;Valid single edge counts
李 钢1，付志刚2，关 洋2，林 凌3，李 刚3，赵 静4，毕 平1, 3* . 动态光谱信号质量的评估与筛选 [J]. 光谱学与光谱分析, 2016, 36(09): 3020-3025.
LI Gang1, FU Zhi-gang2, GUAN Yang2, LIN Ling3, LI Gang3, ZHAO Jing4, BI Ping1, 3* . The Quality Assessment and Selection of Dynamic Spectrum Signal . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(09): 3020-3025.
[1] Jeon K. J., Kim S. J., Park K. K., Journal of Biomedical Optics, 2002, 7(1): 45. [2] Aldrich T. K., Moosikasuwan M., Shah S. D., et al, Annals of Biomedical Engineering, 2002, 30(10): 1291. [3] Kraitl J, Ewald H, Gehring H. Journal of Optics A-Pure and Applied Optics, 2005, 7(6): S318. [4] LI Qiuxia, Wang Huiquan, Li Gang, et al, Transactions of the Institute of Measurement & Control 35(1) 16. [5] WANG Yan, LI Gang, LIN Ling, et al(王 焱，李 刚，林 凌，等). Proceeding of the 2005 IEEE Engineering in Medicine and Biology 27th Annual International Conferene, Shanghai, 2005. 6679. [6] Li Gang, Liu Yuliang, Lin Ling, et al. 3rd International Symposium on Instrumentation Science and Technology, Xi’an, 2004, 3: 875. [7] LI Gang, LIU Yu-liang, LIN Ling, et al(李 刚, 刘玉良, 林 凌, 等). Chinese Journal of Analytical Chemistry(分析化学)，2007，35(10): 1495. [8] LI Gang, Zhou Mei, Lin Ling. Opt Quant Electron, doi: 10.1007/s11082-013-9775-0. [9] LIN Ling, WU Ruo-nan, LI Yong-cheng, et al(林 凌，武若楠，李永城). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2014, 34(7):1937. [10] James H Harlow. Electric Power Transformer Engineering. CRC Press, 2004: 2-216. ISBN 978-0-8493-1704-0. [11] Michael H Tooley. Electronic Circuits: Fundamentals and Applications. Newnes. 2006: 77-78. ISBN 978-0-7506-6923-8. [12] LI Gang, LI Zhe, WANG Xiao-fei, et al(李 刚，李 哲，王晓飞，等). Journal of Beijing Informationg Science and Technology University(北京信息科技大学学报)，2013, 28(2). [13] LI Gang, MEN Jian-long, SUN Zhao-min, et al(李 刚，门剑龙，孙兆敏，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2001，31(2):472. [14] LIN Ling, LI Wei, ZHOU Mei, et al(林 凌，李 威，周 梅，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析)，2014, 34(8)：2111.
