Differences in the force exerted during wrist movements are explained by a general mathematical model
DOI:
https://doi.org/10.37868/hsd.v6i2.925Abstract
The goal of previous efforts has been to create hand prostheses with natural movements. Researchers have used tools to identify patterns in muscle signals associated with different hand movements. While many studies have successfully classified types of hand movements, it's important to analyze speed and strength to ensure that the resulting movements are natural. In this study, 16 healthy subjects were evaluated for (two) different forces and (six) hand movements using surface electromyographic (sEMG) records. A mixed effects model was used to examine the relationship between force and forearm sEMG signals. The results showed high R2 values (median 0.9) and significant random effects, indicating that sEMG signals can explain variations in force signals during different hand movements by introducing the type of movement as part of the random effects of the model.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Camilo Leonardo Sandoval Rodriguez, Carlos Julio Arizmendi Pereira, Diana María Reyes Bravo, Omar Lengerke, Ricardo Palacio, Andrés Jiménez Quezada
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
This journal permits and encourages authors to post items submitted to the journal on personal websites or institutional repositories after publication, while providing bibliographic details that credit its publication in this journal.