Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine Interaction
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comunitat-uji-handle2:10234/7035
comunitat-uji-handle3:10234/8617
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Title
Understanding Forearm Muscle Activity during Everyday Common Grasps: Insights for Rehabilitation, Prosthetic Control, and Human–Machine InteractionDate
2024-04-10Publisher
MDPIISSN
2076-3417Bibliographic 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/app14083190Type
info:eu-repo/semantics/articlePublisher version
https://www.mdpi.com/2076-3417/14/8/3190Version
info:eu-repo/semantics/publishedVersionSubject
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 ... [+]
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. [-]
Is part of
Applied Sciences, 2024, vol. 14, no 8Funder Name
Ministerio de Ciencia, Innovación y Universidades | Universitat Jaume I
Funder ID
http://dx.doi.org/10.13039/501100011033
Project code
CIGE/2021/024 | GACUJIMC/2023/02 | UJI-A2021-03
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info:eu-repo/semantics/openAccess
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Except where otherwise noted, this item's license is described as 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/