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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A.J. del-Ama, A. Gil-Agudo, J.L. Pons, J.C. Moreno, Hybrid FES-robot cooperative control of ambulatory gait rehabilitation exoskeleton, J. Neuroeng. Rehabil. 11(1), 1 (2014). BioMed Central
S.K. Banala, S.K. Agrawal, J.P. Scholz, Active Leg Exoskeleton (ALEX) for gait rehabilitation of motor-impaired patients, in ICORR 2007. IEEE 10th International Conference on En Rehabilitation Robotics, 2007, (IEEE, 2007), pp. 401–407
M. Severens, B. Nienhuis, P. Desain, J. Duysens, Feasibility of measuring event Related Desynchronization with electroencephalography during walking, in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2012), pp. 2764–2767
J. Wagner, T. Solis-Escalante, P. Grieshofer, C. Neuper, G. M üller-Putz, R. Scherer, Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able bodied subjects in. Neuroimage 63(3), 1203–1211 (2012)
G. Pfurtschellera, F.H. Lopes da Silvab, Event-Related EEG/MEG synchronization and desynchronization: basic principles in. Clin. Neurophysiol. 110(11), 1842–1857 (1999)
E. Hortal, and A. Úbeda, and E. Iáñez,and E. Fernández, and J.M. Azorín, Using EEG signals to detect the intention of walking initiation and stop, in Artificial Computation in Biology and Medicine, (Springer, 2015), pp. 278–287
The authors wish to thank Neuroelectrics for lending the equipment Enobio 32 used in the experiments.
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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
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46668-2
Online ISBN: 978-3-319-46669-9