dc.contributor.author | Thacham-Poyil, Azeemsha | |
dc.contributor.author | Steuber, Volker | |
dc.contributor.author | Amirabdollahian, Farshid | |
dc.date.accessioned | 2020-03-26T01:07:59Z | |
dc.date.available | 2020-03-26T01:07:59Z | |
dc.date.issued | 2020-03-16 | |
dc.identifier.citation | Thacham-Poyil , A , Steuber , V & Amirabdollahian , F 2020 , ' Influence of Muscle Fatigue on Electromyogram-Kinematic Correlation During Robot-Assisted Upper Limb Training ' , Journal of Rehabilitation and Assistive Technologies Engineering . https://doi.org/10.1177%2F2055668320903014 | |
dc.identifier.issn | 2055-6683 | |
dc.identifier.other | ORCID: /0000-0003-0186-3580/work/133139299 | |
dc.identifier.uri | http://hdl.handle.net/2299/22500 | |
dc.description | © The Author(s) 2020. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us. sagepub.com/en-us/nam/open-access-at-sage). | |
dc.description.abstract | Introduction: Studies on adaptive robot-assisted upper limb training interactions do not often consider the implications of muscle fatigue sufficiently. Methods: In order to explore this, we initially assessed muscle fatigue in 10 healthy subjects using electromyogram features (average power and median power frequency) during an assist-as-needed interaction with HapticMASTER robot. Spearman’s correlation study was conducted between EMG average power and kinematic force components. Since the robotic assistance resulted in a variable fatigue profile across participants, a completely tiring experiment, without a robot in the loop, was also designed to confirm the results. Results: A significant increase in average power and a decrease in median frequency were observed in the most active muscles. Average power in the frequency band of 0.8-2.5Hz and median frequency in the band of 20-450Hz are potential fatigue indicators. Also, comparing the correlation coefficients across trials indicated that correlation was reduced as the muscles were fatigued. Conclusions: Robotic assistance based on user’s performance has resulted in lesser muscle fatigue, which caused an increase in the EMG-force correlation. We now intend to utilize the electromyogram and kinematic features for the auto-adaptation of therapeutic human-robot interactions. | en |
dc.format.extent | 1257514 | |
dc.language.iso | eng | |
dc.relation.ispartof | Journal of Rehabilitation and Assistive Technologies Engineering | |
dc.subject | Human-Computer Interaction | |
dc.subject | Rehabilitation | |
dc.title | Influence of Muscle Fatigue on Electromyogram-Kinematic Correlation During Robot-Assisted Upper Limb Training | en |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | Centre of Data Innovation Research | |
dc.contributor.institution | Biocomputation Research Group | |
dc.description.status | Peer reviewed | |
rioxxterms.versionofrecord | 10.1177%2F2055668320903014 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |