Development and Assessment of a Method to Estimate the Value of a Maximum Voluntary Isometric Contraction Electromyogram from Submaximal Electromyographic Data

dc.contributor.author Mirka, Gary
dc.contributor.author Koenig, Jordyn
dc.contributor.author MIrka, Gary
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date.accessioned 2022-03-08T23:31:43Z
dc.date.available 2022-03-08T23:31:43Z
dc.date.issued 2022-02-25
dc.description.abstract The electromyographic (EMG) normalization (often to maximum voluntary isometric contraction [MVIC]) is used to control for interparticipant and day-to-day variations. Repeated MVIC exertions may be inadvisable from participants’ safety perspective.This study developed a technique to predict the MVIC EMG from submaximal isometric voluntary contraction EMG. On day 1, 10 participants executed moment exertions of 100%, 60%, 40%, and 20% of the maximum (biceps brachii, rectus femoris, neck flexors, and neck extensors) as the EMG data were collected. On day 2, the participants replicated the joint moment values from day 1 (60%, 40%, and 20%) and also performed MVIC exertions. Using the ratios between the MVIC EMGs and submaximal isometric voluntary contraction EMG data values established on day 1, and the day 2 submaximal isometric voluntary contraction EMG data values, the day 2 MVIC EMGs were predicted. The average absolute percentage error between the predicted and actual MVIC EMG values for day 2 were calculated: biceps brachii, 45%; rectus femoris, 27%; right and left neckflexors, 27% and 33%, respectively; and right and left neck extensors, both 29%. There will be a trade-off between the required accuracy of the MVIC EMG and the risk of injury due to exerting actual MVIC. Thus, using the developed predictive technique may depend on the study circumstances.
dc.description.comments Accepted author manuscript version reprinted, by permission, from Journal of Applied Biomechanics (2022): 1-8. https://doi.org/10.1123/jab.2021-0229. Copyright 2022 Human Kinetics, Inc.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/qzXB5L1v
dc.language.iso en
dc.publisher Human Kinetics, Inc.
dc.source.uri https://doi.org/10.1123/jab.2021-0229 *
dc.subject normalization
dc.subject safety
dc.subject cervical
dc.title Development and Assessment of a Method to Estimate the Value of a Maximum Voluntary Isometric Contraction Electromyogram from Submaximal Electromyographic Data
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication c54dc779-727e-40ea-9567-35088383d9c9
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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