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

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Book cover Biomedical Applications Based on Natural and Artificial Computing (IWINAC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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.

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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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Authors and Affiliations

  1. Department of Computer Architecture and Technology - CITIC, University of Granada, Granada, Spain

    Jesus Minguillon, Christian Morillas & Francisco Pelayo

  2. Department of Signal Theory, Telematics and Communications - CITIC, University of Granada, Granada, Spain

    Miguel Angel Lopez-Gordo

Authors
  1. Jesus Minguillon
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  2. Miguel Angel Lopez-Gordo
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  3. Christian Morillas
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  4. Francisco Pelayo
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Corresponding author

Correspondence to Jesus Minguillon .

Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

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Minguillon, J., Lopez-Gordo, M.A., Morillas, C., Pelayo, F. (2017). A Mobile Brain-Computer Interface for Clinical Applications: From the Lab to the Ubiquity. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_8

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  • Online ISBN: 978-3-319-59773-7

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