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Converging Clinical and Engineering Research on Neurorehabilitation II pp 1103–1107Cite as

Pseudo-Online Detection of Intention of Pedaling Start Cycle Through EEG Signals

Part of the Biosystems & Biorobotics book series (BIOSYSROB,volume 15)

Abstract

This work studied different electrode configurations and processing windows for detecting the intention of pedaling initiation. Furthermore, data were pseudo-online analyzed. The main goal was to find alterations in the mu and beta frequency bands where event-related synchronization and desynchronization (ERS/ERD) is produced. The results show an improvement using time before and after the movement onset rather than until the movement onset.

This research has been carried out in the framework of the project Associate—Decoding and stimulation of motor and sensory brain activity to support long term potentiation through Hebbian and paired associative stimulation during rehabilitation of gait (DPI2014-58431-C4-2-R), funded by the Spanish Ministry of Economy and Competitiveness and by the European Union through the European Regional Development Fund (ERDF) A way to build Europe.

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References

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Acknowledgments

The authors wish to thank Neuroelectrics for lending the equipment Enobio 32 used in the experiments.

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Authors and Affiliations

  1. Brain-Machine Interface Systems Lab, Miguel Hernández University of Eche, Avda. de la Universidad S/N, 03202, Elche, Spain

    M. Rodríguez-Ugarte, Á. Costa, E. Iáñez, A. Úbeda & J. M. Azorín

Authors
  1. M. Rodríguez-Ugarte
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  2. Á. Costa
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  3. E. Iáñez
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  4. A. Úbeda
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  5. J. M. Azorín
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Corresponding author

Correspondence to M. Rodríguez-Ugarte .

Editor information

Editors and Affiliations

  1. Cajal Institute, Spanish National Research Council Cajal Institute, Madrid, Spain

    Jaime Ibáñez

  2. Cajal Institute, Spanish National Research Council Cajal Institute, Madrid, Spain

    José González-Vargas

  3. Avda. de la Universidad s/n, Universidad Miguel Hernández de Elche Avda. de la Universidad s/n, Elche, Spain

    José María Azorín

  4. Cullen College of Engineering, University of Houston Cullen College of Engineering, Houston, USA

    Metin Akay

  5. Cajal Institute, Spanish National Research Council Cajal Institute, Madrid, Spain

    José Luis Pons

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Rodríguez-Ugarte, M., Costa, Á., Iáñez, E., Úbeda, A., Azorín, J.M. (2017). Pseudo-Online Detection of Intention of Pedaling Start Cycle Through EEG Signals. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_179

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  • DOI: https://doi.org/10.1007/978-3-319-46669-9_179

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46668-2

  • Online ISBN: 978-3-319-46669-9

  • eBook Packages: EngineeringEngineering (R0)

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