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Ear-EEG: User-Centered and Wearable BCI

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Brain-Computer Interface Research

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 6))

Abstract

We present a radically new solution for EEG-based brain computer interface (BCI) where electrodes are embedded on a customized earpiece, as typically used in hearing aids (Ear-EEG). This provides a noninvasive, minimally intrusive and user-friendly EEG platform suitable for long-term use (days) in natural environments. The operation of Ear-EEG is illustrated for alpha-attenuation and responses to auditory stimuli, and its potential in BCI is evaluated on an SSVEP study. We show that Ear-EEG bitrate performances are comparable with those of on-scalp electrodes, thus promising a quantum step forward for wearable BCI.

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References

  1. Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., Müller, K.R.: The Berlin brain-computer interface: Non-medical uses of BCI technology. Front. Neuroscience 4(198) (2010)

    Google Scholar 

  2. Waterhouse, E.: New horizons in ambulatory electroencephalography. IEEE Eng. Med. Biol. Mag. 22(3), 74–80 (2003)

    Article  Google Scholar 

  3. Casson, A.J., Yates, D.C., Smith, S.J.M., Duncan, J.S., Rodriguez-Villegas, E.: Wearable electroencephalography. IEEE Eng. Med. Biol. Mag. 29(3), 44–56 (2010)

    Article  Google Scholar 

  4. Richardson, P.C., Coombs, F.K., Adams, R.M.: Some new electrode techniques for long-term physiologic monitoring. Aerosp. Med. 39(7), 745–750 (1968)

    Google Scholar 

  5. Bergey, G.E., Squires, R.D., Sipple, W.C.: Electrocardiogram recording with pasteless electrodes. IEEE Trans. Biomed. Eng. 18(3), 206–211 (1971)

    Article  Google Scholar 

  6. Popescu, F., Fazli, S., Badower, Y., Blankertz, B., Müller, K.R.: Single trial classification of motor imagination using 6 dry EEG electrodes. PLoS One 2(7), e637 (2007)

    Google Scholar 

  7. Looney, D., Park, C., Kidmose, P., Rank, M.L., Ungstrup, M., Rosenkranz, K., Mandic, D.P.: An in-the-ear platform for recording electroencephalogram. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 6882–6885 (2011)

    Google Scholar 

  8. Kidmose, P., Looney, D., Mandic, D.P.: Auditory evoked responses from ear-EEG recordings. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 586–589 (2012)

    Google Scholar 

  9. Looney, D., Kidmose, P., Park, C., Ungstrup, M., Rank, M.L., Rosenkranz, K., Mandic, D.P.: The in-the-ear recording concept. IEEE Pulse Magazine 3(6), 32–42 (2012)

    Article  Google Scholar 

  10. Kidmose, P., Looney, D., Ungstrup, M., Rank, M.L., Mandic, D.P.: A study of evoked potentials from ear-EEG. IEEE Trans. Biomed. Eng. 60(10), 2824–2830 (2013)

    Article  Google Scholar 

  11. Bin, G., Gao, X., Wang, Y., Li, Y., Hong, B., Gao, S.: A high-speed BCI based on code modulation VEP. J. Neural Eng. 8(2), 025015 (2011)

    Article  Google Scholar 

  12. Poh, M.Z., Swenson, N.C., Picard, R.W.: Motion-tolerant magnetic earring sensor and wireless earpiece for wearable photoplethysmography. IEEE Trans. Inform. Technol. Biomed. 14(3), 786–794 (2010)

    Article  Google Scholar 

  13. Pressler, G.A., Mansfield, J.P., Pasterkamp, H., Wodicka, G.R.: Detection of respiratory sounds within the ear canal. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 1529–1530 (2002); Kidmose, P., Looney, D., Jochumsen, L., Mandic, D.P.: Ear-EEG from generic earpieces: A feasibility study. In: Conf. Proc. IEEE Eng. Med. Biol. Soc., pp. 543–546 (2013)

    Google Scholar 

  14. Williamon, A., Aufegger, L., Wasley, D., Looney, D., Mandic, D.P.: Complexity of physiological responses decreases in high-stress musical performance. J. R. Soc. Interface 10(89), 20130719 (2013)

    Article  Google Scholar 

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Correspondence to David Looney .

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Looney, D., Kidmose, P., Mandic, D.P. (2014). Ear-EEG: User-Centered and Wearable BCI. In: Guger, C., Allison, B., Leuthardt, E. (eds) Brain-Computer Interface Research. Biosystems & Biorobotics, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54707-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-54707-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54706-5

  • Online ISBN: 978-3-642-54707-2

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