Analysis of EEG signal to detect motor command generation towards stroke rehabilitationHayashi, Y. ORCID: https://orcid.org/0000-0002-9207-6322, Nagai, K., Ito, K., Nasuto, S. J., Loureiro, R. C. V. and Harwin, W. S. ORCID: https://orcid.org/0000-0002-3928-3381 (2013) Analysis of EEG signal to detect motor command generation towards stroke rehabilitation. In: Pons, J. L., Torricelli, D. and Pajaro, M. (eds.) Converging Clinical and Engineering Research on Neurorehabilitation. Biosystems and Biorobotics (1). Springer, pp. 569-573. ISBN 9783642345456 (Proceedings of ICNR 2012, the International Conference on NeuroRehabilitation)
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1007/978-3-642-34546-3_92 Abstract/SummaryOur aim is to reconstruct the brain-body loop of stroke patients via an EEG-driven robotic system. After the detection of motor command generation, the robotic arm should assist patient’s movement at the correct moment and in a natural way. In this study we performed EEG measurements from healthy subjects performing discrete spontaneous motion. An EEG analysis based on the temporal correlation of the brain activity was employed to determine the onset of single motion motor command generation.
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