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Sensory Feedback with a Hand Exoskeleton Increases EEG Modulation in a Brain-Machine Interface System

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

Brain-machine interfaces (bci) translate brain activity into control signals of external devices, such as robots, prostheses or computers. A well-established bci paradigm uses signal power modulations of fast rhythmic brain activity. Such power modulations are linked to a broad variety of sensorimotor, cognitive and perceptual tasks, and feedback for the user can be provided by different sensory modalities, so we decided to investigate whether different sensory modalities of feedback might differently modulate the electroencephalography (eeg) during a bci task. Ten healthy volunteers performed bci motor imagery session while controlling a hand exoskeleton. Participants received feedback with different sensory modalities: visual, somatosensory (using a hand exoskeleton) or auditory. As expected, we found that cortical oscillations of eeg in beta frequencies were modulated by movements. Our main finding was that modulation of beta band in eeg was strongly increased by somatosensory feedback using the exoskeleton, a finding with important implications for design and implementation of bci experiments.

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Acknowledgment

This work has been supported by the European Commission through the project AIDE: “Adaptive Multimodal Interfaces to Assist Disabled People in Daily Activities” (Grant agreement no: 645322), through the project HOMEREHAB: “Development of Development of Robotic Technology for Post-Stroke Home Tele-Rehabilitation Echord++” (Grant agreement no: 601116) and by the Ministry of Economy and Competitiveness through the project DPI2015-70415-C2-2-R. The authors are grateful to Luisa Lorente and Nuria Requena for collaboration in data acquisition.

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Correspondence to Juan A. Barios .

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Barios, J.A. et al. (2019). Sensory Feedback with a Hand Exoskeleton Increases EEG Modulation in a Brain-Machine Interface System. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_220

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_220

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

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