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Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine Interaction
dc.contributor.author | Jarque-Bou, Néstor J | |
dc.contributor.author | Vergara, Margarita | |
dc.contributor.author | Sancho-Bru, Joaquin L. | |
dc.date.accessioned | 2024-04-19T11:57:23Z | |
dc.date.available | 2024-04-19T11:57:23Z | |
dc.date.issued | 2024-04-10 | |
dc.identifier.citation | Jarque-Bou, N.J.; Vergara, M.; Sancho-Bru, J.L. Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine Interaction. Appl. Sci. 2024, 14, 3190. https://doi.org/10.3390/app14083190 | ca_CA |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10234/206486 | |
dc.description.abstract | The specific role of forearm muscles in the development of activities of daily living (ADL) remains unknown. Consequently, studying forearm muscle activity during the most commonly used grasps in ADL would yield valuable insights for hand function evaluation, rehabilitation, and advancements in prosthetic control. In this study, forearm muscle activity was analyzed in 22 healthy subjects, examining seven representative forearm areas during the performance of seven types of grasps at 50% of maximum effort. A Scheirer–Ray–Hare test revealed significant differences for grasp, spot, and their interaction (α < 0.05), but not for repetition (and its interactions). Specific significant differences between grasps were found in specific spots by means of Bonferroni post hoc analyses, ensuring the possibility to discriminate between grasps, which is key to identifying the person’s intention to perform a particular grasp. The median values ranged from 4.4% to 32.8%, depending on the spot and grasp, with small 95% confidence intervals (0.5% to 5.5%). Cylindrical grasp requires the highest muscle activity among all spots, while lateral pinch demands the least. The findings elucidate the contribution, coordination, and function of each muscle in relation to each grasp, with implications for rehabilitation, prosthetics, and telerobotic and teleoperation systems. | ca_CA |
dc.format.extent | 12 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | MDPI | ca_CA |
dc.relation.isPartOf | Applied Sciences, 2024, vol. 14, no 8 | ca_CA |
dc.rights | Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/ | ca_CA |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | ca_CA |
dc.subject | electromyography | ca_CA |
dc.subject | electrode placement | ca_CA |
dc.subject | forearm muscles | ca_CA |
dc.subject | myoelectric prostheses | ca_CA |
dc.subject | rehabilitation | ca_CA |
dc.subject | telerobotics | ca_CA |
dc.title | Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine Interaction | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.3390/app14083190 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://www.mdpi.com/2076-3417/14/8/3190 | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |
project.funder.identifier | http://dx.doi.org/10.13039/501100011033 | ca_CA |
project.funder.name | Ministerio de Ciencia, Innovación y Universidades | ca_CA |
project.funder.name | Universitat Jaume I | ca_CA |
oaire.awardNumber | CIGE/2021/024 | ca_CA |
oaire.awardNumber | GACUJIMC/2023/02 | ca_CA |
oaire.awardNumber | UJI-A2021-03 | ca_CA |
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Excepto si se señala otra cosa, la licencia del ítem se describe como: Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/