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Computer Assisted Surgery Volume 24, 2019 - Issue sup1: Advances in Minimally Invasive Surgery and Clinical Measurement. Guest Editors: Chengyu Liu & Lung-kwang Pan
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Research Article

Physiological interference reduction for near infrared spectroscopy brain activity measurement based on recursive least squares adaptive filtering and least squares support vector machines

Xin LiuSchool of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China; Correspondence[email protected]
,
Yan ZhangSchool of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China; Correspondence[email protected]
,
Dan LiuSchool of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China;
,
Qisong WangSchool of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China;
,
Ou BaiDepartment of Electrical and Computer Engineering, Florida International University, Miami, USA
,
Jinwei SunSchool of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China;
&
Peter RolfeSchool of Electrical Engineering and Automaton, Harbin Institute of Technology, Harbin, China;
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Pages 160-166 | Published online: 28 Jan 2019

References

  • Jobsis F. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 1977;198:1264–1267.
  • Ferrari M, Quaresima V. A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. NeuroImage 2012;63:921–935.
  • Obrig H, Neufang M, Wenzel R, et al. Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. NeuroImage 2000;12:623–639.
  • Zhang Y, Brooks DH, Franceschini MA, et al. Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging. J Biomed Opt. 2005;10:011014–01101411.
  • Tachtsidis I, Scholkmann F. False positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward. Neurophoton. 2016;3:031405.
  • Zhang Q, Brown EN, Strangman GE. Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study. J Biomed Opt. 2007;12:044014.
  • Zhang Y, Sun JW, Rolfe P. RLS adaptive filtering for physiological interference reduction in NIRS brain activity measurement: a Monte Carlo study. Physiol Meas. 2012;33:925–942.
  • Suykens JAK, De Brabanter J, Lukas L, et al. Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 2002;48:85–105.
  • Yang X, Tan L, He L. A robust least squares support vector machine for regression and classification with noise. Neurocomputing 2014;140:41–52.
  • Rolfe P. In vivo near-infrared spectroscopy. Annu Rev Biomed Eng. 2000;2:715–754.
  • Delpy DT, Cope M, van der Zee P, et al. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 1988;33:1433–1442.
  • Zhang Y, Sun J, Rolfe P. Monte Carlo study for physiological interference reduction in near-infrared spectroscopy based on empirical mode decomposition. J Mod Opt. 2010;57:2159–2169.
  • Merched R, Sayed AH. Extended fast fixed-order RLS adaptive filters. IEEE Trans Signal Process. 2001;49:3015–3031.
  • Burges CJC. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discov. 1998;2:121–167.
  • Malik BA. Determination of glucose concentration from near infrared spectra using least square support vector machine. 2015 International Conference on Industrial Instrumentation and Control (ICIC); Pune (India): IEEE; 2015. p. 475–478.
  • Wang L, Jacques SL, Zheng L. MCML—Monte Carlo modeling of light transport in multi-layered tissues. Comput Methods Prog Biomed.1995;47:131–146.
  • Yamashita Y, Maki A, Koizumi H. Wavelength dependence of the precision of noninvasive optical measurement of oxy-, deoxy-, and total-hemoglobin concentration. Med Phys. 2001; 28:1108–1114.

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