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Experimental Study Regarding the Performance of a Motor-Imagery Brain-Computer Interface Across Different Electrodes Placement

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6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania

Part of the book series: IFMBE Proceedings ((IFMBE,volume 71))

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Abstract

This paper present an experimental study that evaluates the performance of a Motor-Imagery (MI) Brain-Computer Interface (BCI) using different electrodes configuration in order to determine the most efficient usage of an 8-channels limited biosignal acquisition device. It is well known the fact that biosignal acquisition devices tend to be very expensive, especially if they have more than 8 electrodes: if in a research context this cost is manageable, for care giving institutions this cost is often prohibitive, which drastically limits the research transfer to practical applications Therefore, it is important to determine the most efficient way in which a more affordable device might be used. A total of 19 configuration were tested, and the results compared against each other. Recommendation for further testing are made.

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References

  1. Leebl, R., et al.: Transferring brain-computer interfaces beyond the laboratory: successful application control for motor-disabled users. Artif. Intell. Med. 59, 121–132 (2013). https://doi.org/10.1016/j.artmed.2013.08.004

    Article  Google Scholar 

  2. Pfurtscheller, G., McFarland, D.J.: BCIs that use sensorimotor rhythms. In: Wolpaw, J.R., Wolpaw, E.W. (eds.) Brain-Computer Interfaces: Principes and Practice, p. 227. Oxford University Press, New-York (2012)

    Google Scholar 

  3. Alonso-Valerdi, L.M., Salido-Ruiz, R.A., Ramirez-Mendoza, R.A.: Motor imagery based brain-computer interfaces: an emerging technology to rehabilitate motor deficits. Neuropsychologia 79, 354–363 (2015). https://doi.org/10.1016/j.neuropsychologia.2015.09.012

    Article  Google Scholar 

  4. Pattnaik, P.K., Sarraf, J.: Brain computer interface issues on hand movement. J. K.S.U.-Comput. Inf. Sci. 30, 18–24 (2016). https://doi.org/10.1016/j.jksuci.2016.09.006

    Article  Google Scholar 

  5. Brancol, M.P., et al.: ALICE: A tool for automatic localization of intra-cranial electrodes for clinical and high-density grids. J. Neurosci. Methods 301, 43–51 (2017). https://doi.org/10.1016/j.jneumeth.2017.10.022

    Article  Google Scholar 

  6. Suryotrisongko, H., Samopa, F.: Evaluating OpenBCI Spiderclaw VI Headwear’s electrodes placements for brain-computer interface (BCI) motor imagery application. Procedia Comput. Sci. 72(2015), 398–405 (2015). https://doi.org/10.1016/j.procs.2015.12.155

    Article  Google Scholar 

  7. Aler, R., Galvan, I.M.: Optimizing the number of electrodes and spatial filters for brain-computer interfaces by means of an evolutionary multi-objective approach. Expert Syst. Appl. 42, 6215–6223 (2015). https://doi.org/10.1016/j.eswa.2015.03.008

    Article  Google Scholar 

  8. Lahiri, R., Rakshit, P., Konar, A.: Evolutionary perspective for optimal selection of EEG electrodes and features. Biomed. Signal Process. Control 36, 113–137 (2017). https://doi.org/10.1016/j.bspc.2017.03.022

    Article  Google Scholar 

  9. Majkowskil, A., et al.: An attempt to localize brain electrical activity sources using EEG with limited number of electrodes. Biocybern. Biomed. Eng. 36, 686–696 (2016). https://doi.org/10.1016/j.bbe.2016.07.002

    Article  Google Scholar 

  10. Speier, W., Deshpande, A., Pouratian, N.: A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems. Clin. Neurophysiol. 126, 1171–1177 (2014). https://doi.org/10.1016/j.clinph.2014.09.021

    Article  Google Scholar 

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Acknowledgements

Work presented in this paper was partially supported by project ID 37_215, MySMIS code 103415 “Innovative approaches regarding the rehabilitation and assistive robotics for healthy ageing” co-financed by the European Regional Development Fund through the Competitiveness Operational Programme 2014–2020, and also by PCCA Project 180/2012, titled “A Hybrid FES-Exoskeleton System to Rehabilitate the Upper Limb in Disabled People (EXOSLIM)”.

Conflict of Interest

The authors declare that they are full time University of Cluj-Napoca employees and have no conflict of interest with any entity that produce/commercialize the devices used for the presented research.

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Correspondence to A. Ianoși-Andreeva-Dimitrova .

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Ianoși-Andreeva-Dimitrova, A., Mândru, D.S. (2019). Experimental Study Regarding the Performance of a Motor-Imagery Brain-Computer Interface Across Different Electrodes Placement. In: Vlad, S., Roman, N. (eds) 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. IFMBE Proceedings, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-13-6207-1_36

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  • DOI: https://doi.org/10.1007/978-981-13-6207-1_36

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  • Online ISBN: 978-981-13-6207-1

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