Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Development of a Mobile Functional Near-Infrared Spectroscopy Prototype

  • Conference paper
  • First Online:
Internet of Vehicles. Technologies and Services Towards Smart City (IOV 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11253))

Included in the following conference series:

Abstract

Driving is a complex and cognitively demanding task. It is important to assess the cognitive state of the driver in order to develop cognitive technical systems that can adapt to different cognitive states of the driver. For this purpose, we have developed a mobile functional near-infrared spectroscopy (mofNIRS) prototype. This paper describes the improvements of this mobile prototype with freely placeable optodes on a subject’s head and the results of an evaluation study. We conducted a motor cortex experiment with four subjects, whereby the mobile prototype was mounted on the right hemisphere and a commercial, stationary fNIRS on the left hemisphere above the motor cortex area. One data set had to be discarded due to incorrect synchronization between both systems. The results of the remaining three subjects are presented and discussed in this paper. Here, we report the results from the time-series and Statistical Parametric Mapping (SPM) analyses, which shows t-values with high differentiability of the Results. Furthermore, both analysis methods show comparable results between the commercial system and the mobile prototype.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anirudh, U., et al.: Brain activity measured with fNIRS for the prediction of cognitive workload. In: 6th IEEE Conference on Cognitive Infocommunications (2015)

    Google Scholar 

  2. Atsumori, H., et al.: Development of a multi-channel, portable optical topography system. In: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society, pp. 3362–3364 (2007)

    Google Scholar 

  3. Barker, J.W., Aarabi, A., Huppert, T.J.: Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS. Biomed. Opt. Express 4(8), 1366–1379 (2013)

    Article  Google Scholar 

  4. Brainard, D.H.: The psychophysics toolbox. Spat. Vis. 10(4), 433–436 (1997)

    Article  Google Scholar 

  5. Brigadoi, S., Cutini, S., Scarpa, F., Scatturin, P., Dell’Acqua, R.: Exploring the role of primary and supplementary motor areas in simple motor tasks with fNIRS. Cogn. Process. 13(Suppl 1), S97–S101 (2012)

    Article  Google Scholar 

  6. Brookhuis, K.A., De Waard, D., Janssen, W.H.: Behavioural Impacts of Advanced Driver Assistance Systems-an overview (2001)

    Google Scholar 

  7. Cohen, I.R., Lajtha, A.: Oxygen Transport to Tissue XXX. Advances in Experimental Medicine and Biology, vol. 645. Springer, Dordrecht (2009). https://doi.org/10.1007/978-0-387-85998-9

    Book  Google Scholar 

  8. Cui, X., Bray, S., Bryant, D.M., Glover, G.H., Reiss, A.L.: A quantitative comparison of NIRS and fMRI across multiple cognitive tasks. NeuroImage 54(4), 2808–2821 (2011)

    Article  Google Scholar 

  9. Custo, A., Wells, W.M., Barnett, A.H., Hillman, E.M.C., Boas, D.A.: Effective scattering coefficient of the cerebral spinal fluid in adult head models for diffuse optical imaging. Appl. Opt. 45(19), 4747–4755 (2006)

    Article  Google Scholar 

  10. Cutini, S., Moro, S., Bisconti, S.: Review: functional near infrared optical imaging in cognitive neuroscience: an introductory review. J. Near Infrared Spectrosc. 20(1), 75–92 (2012)

    Article  Google Scholar 

  11. Eggebrecht, A.T., et al.: A quantitative spatial comparison of high-density diffuse optical tomography and fMRI cortical mapping. NeuroImage 61(4), 1120–1128 (2012)

    Article  Google Scholar 

  12. Ferrari, M., Quaresima, V.: A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. NeuroImage 63(2), 921–935 (2012)

    Article  Google Scholar 

  13. Franceschini, M.A., Toronov, V., Filiaci, M., Gratton, E., Fantini, S.: On-line optical imaging of the human brain with 160-ms temporal resolution. Opt. Express 6(3), 49–57 (2000)

    Article  Google Scholar 

  14. Freyman, R.: Möglichkeit und Grenzen von Fahrerassistenz- und Aktiven Sicherheitssystemen. Aktive Sicherheit durch Fahrerassistenz (2004)

    Google Scholar 

  15. Goodwin, J.R., Gaudet, C.R., Berger, A.J.: Short-channel functional near-infrared spectroscopy regressions improve when source-detector separation is reduced. Neurophotonics 1(1), 15002 (2014)

    Article  Google Scholar 

  16. Habermehl, C., et al.: Somatosensory activation of two fingers can be discriminated with ultrahigh-density diffuse optical tomography. NeuroImage 59(4), 3201–3211 (2012)

    Article  Google Scholar 

  17. Huppelsberg, J., Walter, K.: Kurzlehrbuch Physiologie. Thieme electronic book library. Thieme, Stuttgart [u.a.] (2009)

    Google Scholar 

  18. Krüger, A., et al.: Imaging of motor activity in freely moving subjects using a wearable NIRS imaging system. In: Digital Holography and Three-Dimensional Imaging. Part of Biomedical Optics and 3-D imaging, 28 April–2 May 2012, Miami, Florida, United States. OSA annual topical meeting. OSA technical digest (online). OSA The Optical Society, Washington, DC, BM4A.3 (2012). https://doi.org/10.1364/biomed.2012.bm4a.3

  19. Leff, D.R., et al.: Assessment of the cerebral cortex during motor task behaviours in adults. A systematic review of functional near infrared spectroscopy (fNIRS) studies. NeuroImage 54(4), 2922–2936 (2011)

    Article  Google Scholar 

  20. Mehnert, J., et al.: Developmental changes in brain activation and functional connectivity during response inhibition in the early childhood brain. Brain Dev. 35(10), 894–904 (2013)

    Article  Google Scholar 

  21. Okada, E., Delpy, D.T.: 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. Opt. 42(16), 2915 (2003)

    Article  Google Scholar 

  22. Piper, S.K., et al.: A wearable multi-channel fNIRS system for brain imaging in freely moving subjects. Celebrating 20 Years Funct. Near Infrared Spectrosc. (fNIRS) 85(Pt 1), 64–71 (2014)

    Google Scholar 

  23. Roy, C.S., Sherrington, C.S.: On the regulation of the blood-supply of the brain. J. Physiol. 11(1–2), 85–158 (1890)

    Article  Google Scholar 

  24. Sassaroli, A., Fantini, S.: Comment on the modified Beer-Lambert law for scattering media. Phys. Med. Biol. 49(14), N255–N257 (2004)

    Article  Google Scholar 

  25. Schecklmann, M., Mann, A., Langguth, B., Ehlis, A.-C., Fallgatter, A.J., Haeussinger, F.B.: The temporal muscle of the head can cause artifacts in optical imaging studies with functional near-infrared spectroscopy. Front. Hum. Neurosci. 11, 456 (2017)

    Article  Google Scholar 

  26. Tachtsidis, I., Leung, T.S., Devoto, L., Delpy, D.T., Elwell, C.E.: Measurement of frontal lobe functional activation and related systemic effects. A near-infrared spectroscopy investigation. Adv. Exp. Med. Biol. 614, 397–403 (2008)

    Article  Google Scholar 

  27. Tachtsidis, I., Scholkmann, F.: Erratum: publisher’s note: false positives and false negatives in functional near-infrared spectroscopy: issues, challenges, and the way forward. Neurophotonics 3(3), 39–801 (2016)

    Google Scholar 

  28. Tak, S., Ye, J.C.: Statistical analysis of fNIRS data. A comprehensive review. NeuroImage 85(Pt 1), 72–91 (2014)

    Article  Google Scholar 

  29. Villringer, A., Planck, J., Hock, C., Schleinkofer, L., Dirnagl, U.: Near infrared spectroscopy (NIRS) A new tool to study hemodynamic changes during activation of brain function in human adults. Neurosci. Lett. 154(1–2), 101–104 (1993)

    Article  Google Scholar 

  30. Volkening, N., Unni, A., Becker, S., Rieger, J.W., Fudickar, S., Hein, A.: Development of a mobile functional near-infrared spectroscopy prototype and its initial evaluation. In: Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference on - PETRA 2018, pp. 214–221. ACM Press, New York (2018). https://doi.org/10.1145/3197768.3201534

  31. Volkening, N., Unni, A., Löffler, B.S., Fudickar, S., Rieger, J.W., Hein, A.: Characterizing the Influence of Muscle Activity in fNIRS Brain Activation Measurements. IFAC-PapersOnLine 49(11), 84–88 (2016)

    Article  Google Scholar 

  32. Wyser, D., Lambercy, O., Scholkmann, F., Wolf, M., Gassert, R.: Wearable and modular functional near-infrared spectroscopy instrument with multidistance measurements at four wavelengths. Neurophotonics 4(4), 41413 (2017)

    Article  Google Scholar 

  33. Xu, Y., Graber, H.L., Barbour, R.L.: nirsLAB. A computing environment for fNIRS neuroimaging data analysis. In Biomedical Optics, 26–30 April 2014, Miami, Florida, United States. OSA technical digest (online). OSA The Optical Society, Washington, DC, BM3A.1 (2014). https://doi.org/10.1364/biomed.2014.bm3a.1

  34. Zijlstra, W.G., Buursma, A., van Assendelft, O.W.: Visible and near infrared absoption spectra of human and animal haemoglobin. Determination and application. VSP, Utrecht (2000)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the funding initiative Niedersächsisches Vorab of the Volkswagen Foundation and the Ministry of Science and Culture of Lower Saxony as a part of the Interdisciplinary Research Centre on Critical Systems Engineering for Socio–Technical Systems.

Author information

Authors and Affiliations

  1. OFFIS Institute for Information Technology, 26121, Oldenburg, Germany

    Nils Volkening & Andreas Hein

  2. Applied Neurocognitive Psychology Lab, University of Oldenburg, 26111, Oldenburg, Germany

    Anirudh Unni & Jochem W. Rieger

  3. Division of Assistance Systems and Medical Device Technology, University of Oldenburg, 26111, Oldenburg, Germany

    Sebastian Fudickar

Authors
  1. Nils Volkening
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anirudh Unni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jochem W. Rieger
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sebastian Fudickar
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Andreas Hein
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nils Volkening .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Andrzej M.J. Skulimowski

  2. University of Sussex, Brighton, UK

    Zhengguo Sheng

  3. Université de Versailles St Quentin, Versailles, France

    Sondès Khemiri-Kallel

  4. Université Paris 13, Villetaneuse, France

    Christophe Cérin

  5. National Chung Cheng University, Minxiong, Taiwan

    Ching-Hsien Hsu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Volkening, N., Unni, A., Rieger, J.W., Fudickar, S., Hein, A. (2018). Development of a Mobile Functional Near-Infrared Spectroscopy Prototype. In: Skulimowski, A., Sheng, Z., Khemiri-Kallel, S., Cérin, C., Hsu, CH. (eds) Internet of Vehicles. Technologies and Services Towards Smart City. IOV 2018. Lecture Notes in Computer Science(), vol 11253. Springer, Cham. https://doi.org/10.1007/978-3-030-05081-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05081-8_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05080-1

  • Online ISBN: 978-3-030-05081-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation