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Benchmarking the Effects on Human–Exoskeleton Interaction of Trajectory, Admittance and EMG-Triggered Exoskeleton Movement Control

dc.contributor.authorRodrigues-Carvalho, Camila
dc.contributor.authorFernández-García, Marvin
dc.contributor.authorPinto-Fernández, David
dc.contributor.authorSanz-Morere, Clara
dc.contributor.authorBarroso, Filipe O
dc.contributor.authorBorromeo, Susana
dc.contributor.authorRodríguez-Sánchez, Cristina
dc.contributor.authorMoreno, Juan C
dc.contributor.authordel-Ama, Antonio J
dc.date.accessioned2024-01-16T12:15:19Z
dc.date.available2024-01-16T12:15:19Z
dc.date.issued2023-01-10
dc.identifier.citationRodrigues-Carvalho, C.; Fernández-García, M.; Pinto-Fernández, D.; Sanz-Morere, C.; Barroso, F.O.; Borromeo, S.; Rodríguez-Sánchez, C.; Moreno, J.C.; del-Ama, A.J. Benchmarking the Effects on Human–Exoskeleton Interaction of Trajectory, Admittance and EMG-Triggered Exoskeleton Movement Control. Sensors 2023, 23, 791. https://doi.org/10.3390/s23020791es
dc.identifier.issn14243210
dc.identifier.urihttps://hdl.handle.net/10115/28489
dc.descriptionThe work presented here was supported by European Union’s Horizon 2020 research and innovation program under grant agreement No 779963, project EUROBENCH (European Robotic Framework for Bipedal Locomotion Benchmarking) through the FSTP-2 project INTENTION (Improving Human–Robot Interaction through EMG-Onset Controller for Lower Limb Exoskeletons). Camila Rodrigues-Carvalho has also been partially funded by CSIC Interdisciplinary Thematic Platform (PTI+) NEURO-AGINGl+ (PTI-NEURO-AGING+). This work was also partially funded by the Spanish MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”, under Grant agreement IJC2020-044467-I.es
dc.description.abstractNowadays, robotic technology for gait training is becoming a common tool in rehabilitation hospitals. However, its effectiveness is still controversial. Traditional control strategies do not adequately integrate human intention and interaction and little is known regarding the impact of exoskeleton control strategies on muscle coordination, physical effort, and user acceptance. In this article, we benchmarked three types of exoskeleton control strategies in a sample of seven healthy volunteers: trajectory assistance (TC), compliant assistance (AC), and compliant assistance with EMG-Onset stepping control (OC), which allows the user to decide when to take a step during the walking cycle. This exploratory study was conducted within the EUROBENCH project facility. Experimental procedures and data analysis were conducted following EUROBENCH’s protocols. Specifically, exoskeleton kinematics, muscle activation, heart and breathing rates, skin conductance, as well as user-perceived effort were analyzed. Our results show that the OC controller showed robust performance in detecting stepping intention even using a corrupt EMG acquisition channel. The AC and OC controllers resulted in similar kinematic alterations compared to the TC controller. Muscle synergies remained similar to the synergies found in the literature, although some changes in muscle contribution were found, as well as an overall increase in agonist-antagonist co-contraction. The OC condition led to the decreased mean duration of activation of synergies. These differences were not reflected in the overall physiological impact of walking or subjective perception. We conclude that, although the AC and OC walking conditions allowed the users to modulate their walking pattern, the application of these two controllers did not translate into significant changes in the overall physiological cost of walking nor the perceived experience of use. Nonetheless, results suggest that both AC and OC controllers are potentially interesting approaches that can be explored as gait rehabilitation tools. Furthermore, the INTENTION project is, to our knowledge, the first study to benchmark the effects on human–exoskeleton interaction of three different exoskeleton controllers, including a new EMG-based controller designed by us and never tested in previous studies, which has made it possible to provide valuable third-party feedback on the use of the EUROBENCH facility and testbed, enriching the apprenticeship of the project consortium and contributing to the scientific community.es
dc.language.isoenges
dc.publisherMdpies
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectexoskeletones
dc.subjecthuman–robot interactiones
dc.subjectelectromyographyes
dc.subjectEMG controles
dc.subjectexoskeleton controles
dc.subjectbenchmarkinges
dc.titleBenchmarking the Effects on Human–Exoskeleton Interaction of Trajectory, Admittance and EMG-Triggered Exoskeleton Movement Controles
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3390/s23020791es
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses


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Atribución 4.0 InternacionalExcept where otherwise noted, this item's license is described as Atribución 4.0 Internacional