Reduction of global interference in functional multidistance near-infrared spectroscopy using empirical mode decomposition and recursive least squares: A monte carlo study

Journal of the European Optical Society

Volumn 6, Issue , 2011, Pages 28-

  Zhang, Y ^a   Sun, J ^a   Rolfe, P ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Empirical mode decomposition; Functional near infrared spectroscopy; Interference; Multidistance measurement; Recursive least squares

Indexed keywords

BLOOD PRESSURE; BRAIN; INFRARED DEVICES; NEAR INFRARED SPECTROSCOPY; NEUROPHYSIOLOGY; SIGNAL PROCESSING; WAVE INTERFERENCE;

COMPUTATION COMPLEXITY; EMPIRICAL MODE DECOMPOSITION; FUNCTIONAL NEAR INFRARED SPECTROSCOPY; FUNCTIONAL NEAR-INFRARED SPECTROSCOPY (FNIRS); INTRINSIC MODE FUNCTIONS; LONG DISTANCE MEASUREMENT; MULTIDISTANCE MEASUREMENTS; RECURSIVE LEAST SQUARE (RLS);

MONTE CARLO METHODS;

EID: 84863230317     PISSN: None     EISSN: 19902573     Source Type: Journal    
DOI: 10.2971/jeos.2011.11033     Document Type: Article

References (41)

1. F. F. Jöbsis, "Noninvasive infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters" Science 198, 1264-1267 (1977).
2. B. Montcel, R. Chabrier, and P Poulet, "Detection of cortical activation with time-resolved diffuse optical methods" Appl. Optics 44, 1942-1947 (2005).
3. S. Schmidt, C. M. Schwärzler, F. Sierra, M. Meyer-Wittkopf, and P. Rolfe, "Blood volume changes and oxygenation during labor- a laser spectroscopic analysis" Z. Geburtsh. Neonatol. 205, 33-37 (2001).
4. P. A. Rea, J. Crowe, Y. Wickramasinghe, and P. Rolfe, "Non-invasive optical methods for the study of cerebral metabolism in the human newborn: a technique for the future?" J. Med. Eng. Technol. 9, 160-166 (1985).
5. H. Obrig, M. Neufang, R. Wenzel, M. Kohl, J. Steinbrink, K. Einhäupl, and A. Villringer, "Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults" NeuroImage 12, 623-639 (2000).
6. L. F. Leonardo, D. M. Hueber, and T. J. Barstow, "Effects of assuming constant optical scattering on measurements of muscle oxygenation by near-infrared spectroscopy during exercise" J. Appl. Physiol. 102, 358-367 (2007).
7. G. Strangman, D. A. Bois, and J. P. Sutton, "Non-invasive neuroimaging using near-infrared light" Biol. Psychiat. 52, 679-693 (2002).
8. A. P. Gibson, J. C. Hebden, and S. R. Arridge, "Recent advances in diffuse optical imaging" Phys. Med. Biol. 50, R1-R43 (2005).
9. T. S. Leung, C. E. Elwell, and D. T. Delpy, "Estimation of cerebral oxy- and deoxy-haemoglobin concentration changes in a layered adult head model using near-infrared spectroscopy and multivariate statistical analysis" Phys. Med. Biol. 50, 5783-5798 (2005).
10. S. Kohno, I. Miyai, A. Seiyama, I. Oda, A. Ishikawa, S. Tsuneishi, T. Amita, and K. Shimizu, "Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis" J. Biomed. Opt. 12, 062111 (2007).
11. Y. H. Zhang, D. H. Brooks, M. A. Franceschini, and D. A. Boas, "Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging" J. Biomed. Opt. 10, 011014 (2005).
12. G. Jasdzewski, G. Strangman, J. Wagner, K. K. Kwong, R. A. Poldrack, and D. A. Boas, "Differences in the hemodynamic response to event-related motor and visual paradigms as measured by near infrared spectroscopy" NeuroImage 20, 479-488 (2003).
13. R. B. Saager and A. J. Berger, "Direct characterization and removal of interfering absorption trends in two-layer turbid media" J. Opt. Soc. Am. A 22, 1874-1882 (2005).
14. G. Morren, M. Wolf, P. Lemmerling, U. Wolf, J. H. Choi, E. Gratton, L. De Lathauwer, and S. Van Huffel, "Detection of fast neuronal signals in the motor cortex from functional near infrared spectroscopy measurements using independent component analysis" Med. Biol. Eng. Comput. 42, 92-99 (2004).
15. Q. Zhang, E. N. Brown, and G. E. Strangman, "Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study" J. Biomed. Opt. 12, 044014 (2007).
16. S. Prince, V. Kolehmainen, J. P. Kaipio, M. A. Franceschini, D. Boas, and S. R. Arridge, "Time-series estimation of biological factors in optical diffusion tomography" Phys. Med. Biol. 48, 1491-1504 (2003).
17. S. G. Diamond, T. J. Huppert, V. Kolehmainen, M. A. Franceschini, J. P. Kaipio, S. R. Arridge, and D. A. Boas, "Physiological system identification with the Kalman filter in diffuse optical tomography" Med. Image Comput. Comput. Assist Interv. 8, 649-656 (2005).
18. A. F. Abdelnour and T. Huppert, "Real-time imaging of human brain function by near-infrared spectroscopy using an adaptive general linear model" NeuroImage 46, 133-143 (2009).
19. Y. Zhang, J. W. Sun, and P. Rolfe, "Monte Carlo study for physiological interference reduction in near-infrared spectroscopy based on Empirical Mode Decomposition" J. Mod. Optic. 57, 2159-2169 (2010).
20. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N. C. Yen, C. C. Tung, and H. H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis" Proc. R. Soc. Lond. Ser-A 454, 903-995 (1998).
21. P. Rolfe, "In vivo near-infrared spectroscopy" Annu. Rev. Biomed. Eng. 2, 715-754 (2000).
22. R. Saager and A. Berger, "Measurement of layer-like hemodynamic trends in scalp and cortex: implementations for physiological baseline suppression in functional near-infrared spectroscopy" J. Biomed. Opt. 13, 034017 (2008).
23. P. S. R. Diniz, Adaptive Filtering: Algorithms and Practical Implementation, Springer Science + Business Media, LLC, New York (2008).
24. L. H. Wang, S. L. Jacques, and L. Q. Zheng, "MCML-Monte Carlo modeling of light transport in multi-layered tissues" Comput. Meth. Prog. Bio. 47, 131-146 (1995).
25. E. Okada and D. T. Delpy, "Near-infrared light propagation in an adult head model. II. Effect of superficial tissue thickness on the sensitivity of the near-infrared spectroscopy signal" Appl. Optics 42, 2915-2922 (2003).
26. S. Umeyama and T. Yamada, "Monte Carlo study of global interference cancellation by multidistance measurement of near-infrared spectroscopy" J. Biomed. Opt. 14, 064025 (2009).
27. N. Okui and E. Okada, "Wavelength dependence of crosstalk in dual wavelength measurement of oxy- and deoxy-hemoglobin" J. Biomed. Opt. 10, 011015 (2005).
28. T. Yamada, S. Umeyama, and K. Matsuda, "Multidistance probe arrangement to eliminate artifacts in functional near-infrared spectroscopy" J. Biomed. Opt. 14, 064034 (2009).
29. S. J. Matcher, C. E. Elwell, C. E. Cooper, M. Cope, and D. T. Delpy, "Performance comparison of several published tissue near-infrared spectroscopy algorithms" Anal. Biochem. 227, 54-68 (1995).
30. M. S. Cohen, "Real-time functional magnetic resonance imaging" Methods 25, 201-220 (2001).
31. C. E. Elwell, R. Springett, E. Hillman, and D. T. Delpy, "Oscillations in cerebral haemodynamics. Implications for functional activation studies" Adv. Exp. Med. Biol. 471, 57-65 (1999).
32. T. Müller, J. Timmer, M. Reinhard, E. Oehm, and A. Hetzel, "Detection of very low-frequency oscillations of cerebral haemodynamics is influenced by data detrending" Med. Biol. Eng. Comput. 41, 69- 74 (2003).
33. F. Scholkmann, S. Spichtig, T. Muehlemann, and M. Wolf, "How to detect and reduce movement artifacts in near-infrared imaging using moving standard deviation and spline interpolation" Physiol. Meas. 31, 649-662 (2010).
34. Y. Yamashita, A. Maki, and H. Koizumi, "Wavelength dependence of the precision of noninvasive optical measurement of oxy-, deoxy-, and total-hemoglobin concentration" Med. Phys. 28, 1108- 1114 (2001).
35. S.S. Long, T. B. Zhang, and F. Long, "Causes and solutions of overshoot and undershoot and end swing in Hilbert-Huang transform" Acta Seismologica Sinica 18, 602-610 (2005).
36. S. R. Qin and Y. M. Zhong, "A new envelope algorithm of Hilbert- Huang Transform" Mech. Syst. Signal Pr. 20, 1941-1952 (2006).
37. Z. P. Fan, T. S. Hong, Z. Z. Liu, and Z. Z. Jing, "Improve the Envelope of EMD with Piecewise Linear Fractal Interpolation" Key Eng. Mat. 439-440, 390-395 (2010).
38. H. Li, H. H. Hao, and Y.L. Sun, "Improved algorithm for empirical mode decomposition with independent elements" J. Harbin Inst. Tech. 41, 245-248 (2009).
39. L. Zhao, X. F. Liu, S. R. Qin, P. H. Ju, and F. Zhao, "Use of masking signal to improve empirical mode decomposition" J. Vib. Shock 29, 13-17 (2010).
40. M. A. Franceschini, S. Fantini, J. H. Thompson, J. P. Culver, and D. A. Boas, "Hemodynamic evoked response of the sensorimotor cortex measured noninvasively with near-infrared optical imaging" Psychophysiology 40, 548-560 (2003).
41. M. A. Franceschini, D. K. Joseph, T. J. Huppert, S. G. Diamond, and D. A. Boas, "Diffuse optical imaging of the whole head" J. Biomed. Opt. 11, 054007 (2006).