Muscle co-contraction patterns in robot-mediated force field learningto guide specific muscle group training
Article
Pizzamiglio, S., Desowska, A., Mohajer Shojaii, P., Taga, M. and Turner, D. 2017. Muscle co-contraction patterns in robot-mediated force field learningto guide specific muscle group training. NeuroRehabilitation. 41 (1), pp. 17-29. https://doi.org/10.3233/NRE-171453
Authors | Pizzamiglio, S., Desowska, A., Mohajer Shojaii, P., Taga, M. and Turner, D. |
---|---|
Abstract | BACKGROUND: Muscle co-contraction is a strategy of increasing movement accuracy and stability employed in dealing with perturbation of movement. It is often seen in neuropathological populations. The direction of movement influences the pattern of co-contraction, but not all movements are easily achievable for populations with motor deficits. Manipulating the direction of the force instead, may be a promising rehabilitation protocol to train movement with use of a co-contraction reduction strategy. Force field learning paradigms provide a well described procedure to evoke and test muscle co-contraction. OBJECTIVE: The aim of this study was to test the muscle co-contraction pattern in a wide range of arm muscles in different force-field directions utilising a robot-assisted force field learning paradigm of motor adaptation. METHOD: 42 participants volunteered to participate in a study utilising robot-assisted motor adaptation paradigm with clockwise or counter-clockwise force field. Kinematics and surface electromyography (EMG) of eight arm muscles has been measured. RESULTS: Both muscle activation and co-contraction was earlier and stronger in flexors in clockwise condition and in extensors in the counter-clockwise condition. CONCLUSIONS: Manipulating the force field direction leads to changes in the pattern of muscle co-contraction. |
Keywords | Motor adaptation; force-field learning; EMG; co-contraction; rehabilitation |
Journal | NeuroRehabilitation |
Journal citation | 41 (1), pp. 17-29 |
ISSN | 1053-8135 |
1878-6448 | |
Year | 2017 |
Publisher | IOS Press |
Accepted author manuscript | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/NRE-171453 |
Publication dates | |
22 Jul 2017 | |
Publication process dates | |
Deposited | 09 May 2017 |
Accepted | 30 Jan 2017 |
Copyright information | © 2017 The authors. The final publication is available at IOS Press through http://dx.doi.org/10.3233/NRE-171453 |
License | All rights reserved |
https://repository.uel.ac.uk/item/84qzz
Download files
239
total views497
total downloads0
views this month3
downloads this month