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A Mobile Brain-Computer Interface for Clinical Applications: From the Lab to the Ubiquity

  • Jesus MinguillonEmail author
  • Miguel Angel Lopez-Gordo
  • Christian Morillas
  • Francisco Pelayo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10338)

Abstract

Technological advances during the last years have contributed to the development of wireless and low-cost electroencephalography (EEG) acquisition systems and mobile brain-computer interface (mBCI) applications. The most popular applications are general-purpose (e.g., games, sports, daily-life, etc.). However, clinical usefulness of mBCIs is still an open question. In this paper we present a low-cost mobile BCI application and demonstrate its potential utility in clinical practice. In particular, we conducted a study in which visual evoked potentials (VEP) of two subjects were analyzed using our mBCI application, under different conditions: inside a laboratory, walking and traveling in a car. The results show that the features of our system (level of synchronization, robustness and signal quality) are acceptable for the demanding standard required for the electrophysiological evaluation of vision. In addition, the mobile recording and cloud computing of VEPs offers a number of advantages over traditional in-lab systems. The presented mobile application could be used for visual impairment screening, for ubiquitous, massive and low-cost evaluation of vision, and as ambulatory diagnostic tool in rural or undeveloped areas.

Keywords

EEG VEP mHealth mBCI Mobile brain-computer interface Cloud-computing Clinical Ubiquity 

Notes

Acknowledgments

This work was supported by Nicolo Association for the R+D in Neurotechnologies for disability, the Ministry of Economy and Competitiveness DPI2015-69098-REDT, the research project P11-TIC-7983 of Junta of Andalucia (Spain), and the Spanish National Grant TIN2015-67020-P, co-financed by the European Regional Development Fund (ERDF).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Jesus Minguillon
    • 1
    Email author
  • Miguel Angel Lopez-Gordo
    • 2
  • Christian Morillas
    • 1
  • Francisco Pelayo
    • 1
  1. 1.Department of Computer Architecture and Technology - CITICUniversity of GranadaGranadaSpain
  2. 2.Department of Signal Theory, Telematics and Communications - CITICUniversity of GranadaGranadaSpain

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