Maximal voluntary isometric contraction tests for normalizing electromyographic data from different regions of supraspinatus and infraspinatus muscles: Identifying reliable combinations
| dc.contributor.author | Alenabi, Talia | |
| dc.contributor.author | Whittaker, Rachel | |
| dc.contributor.author | Kim, Soo Y. | |
| dc.contributor.author | Dickerson, Clark R. | |
| dc.date.accessioned | 2018-06-08T17:56:00Z | |
| dc.date.available | 2018-06-08T17:56:00Z | |
| dc.date.issued | 2018-08-01 | |
| dc.description | The final publication is available at Elsevier via https://dx.doi.org/10.1016/j.jelekin.2018.04.007 © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.description.abstract | This study aimed to identify optimal sets of maximal voluntary isometric contractions (MVICs) for normalizing EMG data from anterior and posterior regions of the supraspinatus, and superior, middle and inferior regions of the infraspinatus. 31 right-handed young healthy individuals (15 males, 16 females) participated. EMG activity was obtained from two regions of supraspinatus and three regions of infraspinatus muscles via fine wire electrodes. Participants performed 15 MVIC tests against manual resistance. The EMG data were normalized to the maximum values. Optimal sets of MVIC combinations, defined as those which elicited >90% MVIC activation in the muscles of interest in >80% and >90% of the population, were obtained. EMG data from the inferior region of infraspinatus were removed from analysis due to technical problem. No single test achieved maximal activation of both regions of either the supraspinatus or infraspinatus. Instead, a combination of 6–8 MVICs were required to reach >90% MVIC activation in both parts of those muscles. In all regions of the rotator cuff muscles, the optimal combination was obtained with 8–10 MVICs. The proposed combinations can reduce inter-participant variability in generating maximal activation from different regions of the supraspinatus and infraspinatus muscles. | en |
| dc.description.sponsorship | NSERC Discovery Grant (311895-2016) | en |
| dc.description.sponsorship | Canada Foundation for Innovation | en |
| dc.description.sponsorship | Ontario Research Fund | en |
| dc.description.sponsorship | NSERC Canada Research Chair | en |
| dc.identifier.uri | https://dx.doi.org/10.1016/j.jelekin.2018.04.007 | |
| dc.identifier.uri | http://hdl.handle.net/10012/13380 | |
| dc.language.iso | en | en |
| dc.publisher | Elsevier | en |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | EMG normalization | en |
| dc.subject | Infraspinatus regions | en |
| dc.subject | MVIC combination | en |
| dc.subject | Shoulder | en |
| dc.subject | Supraspinatus regions | en |
| dc.title | Maximal voluntary isometric contraction tests for normalizing electromyographic data from different regions of supraspinatus and infraspinatus muscles: Identifying reliable combinations | en |
| dc.type | Article | en |
| dcterms.bibliographicCitation | Alenabi, T., Whittaker, R., Kim, S. Y., & Dickerson, C. R. (2018). Maximal voluntary isometric contraction tests for normalizing electromyographic data from different regions of supraspinatus and infraspinatus muscles: Identifying reliable combinations. Journal of Electromyography and Kinesiology, 41, 19–26. doi:10.1016/j.jelekin.2018.04.007 | en |
| uws.contributor.affiliation1 | Faculty of Applied Health Sciences | en |
| uws.contributor.affiliation1 | Faculty of Engineering | en |
| uws.contributor.affiliation2 | Kinesiology | en |
| uws.peerReviewStatus | Reviewed | en |
| uws.scholarLevel | Faculty | en |
| uws.typeOfResource | Text | en |
| uws.typeOfResource | Text | en |