Recovering fNIRS brain signals: Physiological interference suppression with independent component analysis

Y. Zhang, M. Shi, J. Sun, C. Yang, Y. J. Zhang, F. Scopesi, P. Makobore, C. Chin, G. Serra, Y. A B D Wickramasinghe, P. Rolfe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain activity can be monitored non-invasively by functional near-infrared spectroscopy (fNIRS), which has several advantages in comparison with other methods, such as flexibility, portability, low cost and fewer physical restrictions. However, in practice fNIRS measurements are often contaminated by physiological interference arising from cardiac contraction, breathing and blood pressure fluctuations, thereby severely limiting the utility of the method. Hence, further improvement is necessary to reduce or eliminate such interference in order that the evoked brain activity information can be extracted reliably from fNIRS data. In the present paper, the multi-distance fNIRS probe configuration has been adopted. The short-distance fNIRS measurement is treated as the virtual channel and the long-distance fNIRS measurement is treated as the measurement channel. Independent component analysis (ICA) is employed for the fNIRS recordings to separate the brain signals and the interference. Least-absolute deviation (LAD) estimator is employed to recover the brain activity signals. We also utilized Monte Carlo simulations based on a five-layer model of the adult human head to evaluate our methodology. The results demonstrate that the ICA algorithm has the potential to separate physiological interference in fNIRS data and the LAD estimator could be a useful criterion to recover the brain activity signals.

Original languageEnglish
Title of host publicationNinth International Symposium on Precision Engineering Measurements and Instrumentation
PublisherSPIE
Volume9446
ISBN (Print)9781628415612
DOIs
Publication statusPublished - 2015
Event9th International Symposium on Precision Engineering Measurements and Instrumentation, ISPEMI 2014 - Changsha, China
Duration: Aug 8 2014Aug 10 2014

Other

Other9th International Symposium on Precision Engineering Measurements and Instrumentation, ISPEMI 2014
CountryChina
CityChangsha
Period8/8/148/10/14

Fingerprint

Interference Suppression
Near-infrared Spectroscopy
Interference suppression
Near infrared spectroscopy
Independent component analysis
Independent Component Analysis
brain
Brain
infrared spectroscopy
retarding
interference
Interference
Least Absolute Deviation
pressure breathing
estimators
Virtual Channel
deviation
Estimator
blood pressure
Portability

Keywords

  • Functional near-infrared spectroscopy
  • Independent component analysis
  • Least-absolute deviation
  • Modified lambert-beer law
  • Physiological interference

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Zhang, Y., Shi, M., Sun, J., Yang, C., Zhang, Y. J., Scopesi, F., ... Rolfe, P. (2015). Recovering fNIRS brain signals: Physiological interference suppression with independent component analysis. In Ninth International Symposium on Precision Engineering Measurements and Instrumentation (Vol. 9446). [944604] SPIE. https://doi.org/10.1117/12.2083483

Recovering fNIRS brain signals : Physiological interference suppression with independent component analysis. / Zhang, Y.; Shi, M.; Sun, J.; Yang, C.; Zhang, Y. J.; Scopesi, F.; Makobore, P.; Chin, C.; Serra, G.; Wickramasinghe, Y. A B D; Rolfe, P.

Ninth International Symposium on Precision Engineering Measurements and Instrumentation. Vol. 9446 SPIE, 2015. 944604.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Y, Shi, M, Sun, J, Yang, C, Zhang, YJ, Scopesi, F, Makobore, P, Chin, C, Serra, G, Wickramasinghe, YABD & Rolfe, P 2015, Recovering fNIRS brain signals: Physiological interference suppression with independent component analysis. in Ninth International Symposium on Precision Engineering Measurements and Instrumentation. vol. 9446, 944604, SPIE, 9th International Symposium on Precision Engineering Measurements and Instrumentation, ISPEMI 2014, Changsha, China, 8/8/14. https://doi.org/10.1117/12.2083483
Zhang Y, Shi M, Sun J, Yang C, Zhang YJ, Scopesi F et al. Recovering fNIRS brain signals: Physiological interference suppression with independent component analysis. In Ninth International Symposium on Precision Engineering Measurements and Instrumentation. Vol. 9446. SPIE. 2015. 944604 https://doi.org/10.1117/12.2083483
Zhang, Y. ; Shi, M. ; Sun, J. ; Yang, C. ; Zhang, Y. J. ; Scopesi, F. ; Makobore, P. ; Chin, C. ; Serra, G. ; Wickramasinghe, Y. A B D ; Rolfe, P. / Recovering fNIRS brain signals : Physiological interference suppression with independent component analysis. Ninth International Symposium on Precision Engineering Measurements and Instrumentation. Vol. 9446 SPIE, 2015.
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