Print Email Facebook Twitter EMG patterns during assisted walking in the exoskeleton Title EMG patterns during assisted walking in the exoskeleton Author Sylos-Labini, F. La Scaleia, V. d'Avella, A. Pisotta, I. Tamburella, F. Scivoletto, G. Molinari, M. Wang, S. Wang, L. Van Asseldonk, E. Van der Kooij, H. Hoellinger, T. Cheron, G. Thorsteinsson, F. Ilzkovitz, M. Gancet, J. Hauffe, R. Zanov, F. Lacquaniti, F. Ivanenko, Y.P. Faculty Mechanical, Maritime and Materials Engineering Department Biomechanical Engineering Date 2014-06-14 Abstract Neuroprosthetic technology and robotic exoskeletons are being developed to facilitate stepping, reduce muscle efforts, and promote motor recovery. Nevertheless, the guidance forces of an exoskeleton may influence the sensory inputs, sensorimotor interactions and resulting muscle activity patterns during stepping. The aim of this study was to report the muscle activation patterns in a sample of intact and injured subjects while walking with a robotic exoskeleton and, in particular, to quantify the level of muscle activity during assisted gait. We recorded electromyographic (EMG) activity of different leg and arm muscles during overground walking in an exoskeleton in six healthy individuals and four spinal cord injury (SCI) participants. In SCI patients, EMG activity of the upper limb muscles was augmented while activation of leg muscles was typically small. Contrary to our expectations, however, in neurologically intact subjects, EMG activity of leg muscles was similar or even larger during exoskeleton-assisted walking compared to normal overground walking. In addition, significant variations in the EMG waveforms were found across different walking conditions. The most variable pattern was observed in the hamstring muscles. Overall, the results are consistent with a non-linear reorganization of the locomotor output when using the robotic stepping devices. The findings may contribute to our understanding of human-machine interactions and adaptation of locomotor activity patterns. Subject robotic exoskeletonassisted gaitEMG patternsspinal cord injuryneuroprosthetic technology To reference this document use: http://resolver.tudelft.nl/uuid:5b9c836b-31a7-4932-a2ef-2a2793499ed0 DOI https://doi.org/10.3389/fnhum.2014.00423 Publisher Frontiers ISSN 1662-5161 Source http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00423/abstract Source Frontiers in Human Neuroscience, 8, 2014 Part of collection Institutional Repository Document type journal article Rights © 2014 The Author(s)This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). Files PDF Wang_2014.pdf 2.24 MB Close viewer /islandora/object/uuid:5b9c836b-31a7-4932-a2ef-2a2793499ed0/datastream/OBJ/view