Pseudo-Online Detection of Intention of Pedaling Start Cycle Through EEG Signals
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.
The authors wish to thank Neuroelectrics for lending the equipment Enobio 32 used in the experiments.
- 1.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 CentralGoogle Scholar
- 2.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. 401–407Google Scholar
- 3.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. 2764–2767Google Scholar
- 6.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. 278–287Google Scholar