DYNAMIC SPECTRUM EXTRACTION METHOD BASED ON ABSOLUTE DIFFERENCE SUMMATION AND STATISTICAL THEORY
Abstract
Dynamic spectrum theory has great importance in the field of noninvasive measurement of blood components. To enhance the computational efficiency and data utilization of the existing extraction methods, this paper proposes a new one based on the absolute difference summation (ADS) and statistical theory. The ADS is used to obtain the eigenvalue from a photoplethysmography (PPG) signal. The statistical method is used to obtain the final dynamic spectrum. The experimental data of PPG signal from 133 volunteers were extracted by the new method and the single-trial (ST) extraction method, and the partial least squares model was used to build the calibration models. Compared with the ST extraction, the new method showed better prediction ability. The correlation coefficient of the prediction set increased from 0.85 to 0.92, and the root mean square error of the prediction decreased from 13.49 to 9.86 g/L, which proved that this method can significantly improve the quality of the dynamic spectrum.
About the Authors
G. . Li
Tianjin University
Russian Federation
Russian Federation
H. L. Wang
Tianjin University
Russian Federation
Russian Federation
M. . Zhou
Tianjin University
Russian Federation
Russian Federation
Y. . Peng
Tianjin University
Russian Federation
Russian Federation
L. . Lin
Tianjin University
Russian Federation
Russian Federation
References
1. J. W. Mcmurdy, G. D. Jay, S. Selim, G. Crawford, Clin. Chem., 54, 264-272 (2008).
2. Y. Uwadaira, N. Adachib, A. Ikehatac, S. Kawanoa, J. Near Infrared Spectrosc., 18, 291-300 (2010).
3. G. Bertrand, M. Drame, C. Martageix, C. Kaplan, Blood, 117, 3209-3213 (2011).
4. H. Wang, H. Q. Xu, L. M. Qu, X. M. Wang, R. H. Wu, X. Z. Gao, Q. L. Jin, J. Q. Niu, Eur. J. Gastroenterol. Hepatol., 28, 997-1002 (2016).
5. K. Maruo, M. Tsurugi, J. Chin, T. Ota, Select. Top. Quantum Electron., 9, 322-330 (2003).
6. A. Enejder, S. G. Sasic, M. Feld, J. Biomed. Opt., 10, 885-889 (2005).
7. K. J. Jeon, S. Kim, K. K. Park, J. Kim, G. Yoon, J. Biomed. Opt., 7, 45-50 (2002).
8. J. Kraitl, U. Timm, E. Lewis, H. Ewald, Proc. SPIE, 7572, 757209 (2010).
9. Y. Yamakoshi, M. Ogawa, T. Yamakoshi, T. Tamura, K. Yamakoshi, 31st Annual Int. Conf. IEEE EMBS, Minneapolis, Minnesota, USA, 126-129 (2009).
10. G. Li, Y. L. Liu, L. Lin, Y. Wang, 3rd Int. Symposium on Instrumentation Science and Technology, August 18-22, Xi’an, China, 3-0875-0880 (2004).
11. G. Li, Y. Wang, Q. X. Li, X. X. Li, L. Lin, Y. L. Liu, J. Infrared Millimeter Waves, 25, 345-348 (2006).
12. G. Li, Y. L. Liu, L. Lin, Y. Wang, Opt. Precision Eng., 14, 816-821 (2006).
13. G. Li, H. Q. Wang, Z. Zhao, L. Lin, Spectrosc. Spectr. Anal., 30, 2385-2389 (2010).
14. L. Lin, Q. R. Zhan, M. Zhou, S. J. Xu, G. Li, RSC Advances, 6, 113322-113326 (2016).
15. Y. Yamakoshi, M.Ogawa, T. Yamakoshi, M. Satoh, M. Nogawa, S. Tanaka, T. Tamura, P. Rolfe, K. Yamakoshi, Int. Conf. IEEE Engineering in Medicine & Biology Society, 2964-2967 (2007).
16. Y. H. Luo, Z. Chen, X. D. Chen, Opt. Precision Eng., 16, 759-763 (2008).
17. H. Q. Wang, G. Li, Z. Zhao, L. Lin, Trans. Inst. Measure. Control, 35, 16-24 (2013).
18. G. Li, X. X. Li, L. Lin, Y. L. Liu, Y. Wang, Spectrosc. Spectr. Anal., 26, 263-266 (2006).
19. G. Li, Q. X. Li, L. Lin, X. X. Li, Y. Wang, Y. L. Liu, Spectrosc. Spectr. Anal., 26, 2177-2180 (2006).
20. Y. Wang, G. Li, L. Lin, Y. L. Liu, X. X. Li, Spectrosc. Spectr. Anal., 27, 91-94 (2007).
21. G. Li, C. Xiong, H. Q. Wang, L. Lin, B. J. Zhang, Y. Tong, Spectrosc. Spectr. Anal., 31, 1857-1861 (2011).
22. G. Li, M. Zhou, L. Lin, Opt. Quantum Electron., 46, 691-698 (2014).
23. W. Q. He, X. X. Li, M. J. Wang, G. Li, L. Lin, Anal. Methods, 7, 5565-5573 (2015).
24. G. Li, Y. Wang, L. Lin, Y. L. Liu, X. X. Li, S. Y. Lu, IEEE Conference Publications-2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 1960-1963 (2005).
25. I. W. Selesnick, R. G. Baraniuk, N. C. Kingsbury, IEEE Signal Process. Mag., 22, 123-151 (2005).
26. Y. Peng, G. Li, M. Zhou, H. L. Wang, L. Lin, RSC Adv., 7, 11198-11205 (2017).
Review
For citations:
Li G., Wang H.L., Zhou M., Peng Y., Lin L. DYNAMIC SPECTRUM EXTRACTION METHOD BASED ON ABSOLUTE DIFFERENCE SUMMATION AND STATISTICAL THEORY. Zhurnal Prikladnoii Spektroskopii. 2018;85(6):933-938. (In Russ.)
Views: 268
Email this article 