Abstract
In this paper, an experiment designed to detect the will to perform several steps forward (as gait initiation) before it occurs using the electroencephalographic (EEG) signals collected from the scalp is presented. In order to detect this movement intention, the Event-Related Desynchronization phenomenon is detected using a SVM-based classifier. The preliminary results from seven users have been presented. In this work, the results obtained in a previous paper are enhance obtaining similar true positive rates (around 66 % in average) but reducing the false positive rates (with an average around 20 %). In the future, this improved Brain-Computer Interface will be used as part of the control system of an exoskeleton attached to the lower limb of people with incomplete and complete spinal cord injury to initiate their gait cycle.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dornhege, G., Millán, J., del, R., Hinterberger, T., MacFarland, D.J., Muller, K.R.: Towards Brain-Computer Interfacing. The MIT Press (2007)
Nicolelis, M.A.L.: Actions from thoughts. Nature 409, 403–407 (2001)
Bai, O., Rathi, V., Lin, P., Huang, D., Battapady, H., Fei, D.Y., Schneider, L., Houdayer, E., Chen, X., Hallett, M.: Prediction of human voluntary movement before it occurs. Clin. Neurophysiol. 122(2), 364–372 (2011)
Moreno, J.C., Ama, A.J., Reyes-Guzmán, A., Gil-Agudo, N., Ceres, R., Pons, J.L.: Neurorobotic and hybrid management of lower limb motor disorders: a review. Med. Biol. Eng. Comput. 49(10), 1119–1130 (2011)
Kolb, B., Muhammad, A., Gibb, R.: Searching for factors underlying cerebral plasticity in the normal and injured brain. J. Commun. Disord. 44, 503–514 (2011)
Shibasaki, H., Hallett, M.: What is the Bereitschaftspotential? Clin. Neurophysiol. 117, 2341–2356 (2006)
Pfurtscheller, G., da Silva, F.H.L.: Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin. Neurophysiol. 110, 1842–1857 (1999)
Planelles, D., Hortal, E., Costa, A., Iáñez, E., Azorín, J.M.: First steps in the development of an EEG-based system to detect intention of gait initiation. In: 8th Annual IEEE International Systems Conference, Ottawa, Canada, pp. 167–171 (2014)
McFarland, D.J., McCane, L.M., David, S.V., Wolpaw, J.R.: Spatial filter selection for EEG-based communication. Electroencephalogr. Clin. Neurophysiol. 103, 386–394 (1999)
Bracewell, R.N.: The Fourier Transform and Its Applications. McGraw-Hill Electrical and Electronic Engineering Series (1978)
Hsu, C.W., Chang, C.C., Lin, C.J.: A practical guide to support vector classification. http://www.csie.ntu.edu.tw/cjlin/libsvm/
Wei, L., Yue, H., Jiang, X., He, J.: Brain activity during walking in patient with spinal cord injury. In: International Symposium on Bioelectronics and Bioinformatics, pp. 96–99 (2011)
Acknowledgments
This research has been funded by the Commission of the European Union under the BioMot project—Smart Wearable Robots with Bioinspired Sensory-Motor Skills (Grant Agreement number IFP7-ICT-2013-10-611695) and by Conselleria d’Educació, Cultura i Esport of Generalitat Valenciana of Spain through grant VALi+d ACIF/2012/135.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Hortal, E., Planelles, D., Iáñez, E., Costa, A., Úbeda, A., Azorín, J.M. (2016). Detection of Gait Initiation Through a ERD-Based Brain-Computer Interface. In: Londral, A., Encarnação, P. (eds) Advances in Neurotechnology, Electronics and Informatics. Biosystems & Biorobotics, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-26242-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-26242-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26240-6
Online ISBN: 978-3-319-26242-0
eBook Packages: EngineeringEngineering (R0)