Developing and validating a self-report assessment tool for software biomechanics

Peres, S. Camille; Kortum, Philip; Akladios, Magdy; Muddimer, Andrew

doi:10.3233/wor-152142

Cited by 1 publication

(1 citation statement)

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“…We have begun to use the standard deviation (SD) of RMS sEMG to communicate the dynamics of muscle exertion by (Peres, Kortum, Muddimer, Akladios, & Napit, 2011). This is a simple and intuitive measure of how much the muscle activity varies.…”

Section: Introductionmentioning

confidence: 99%

Standard Deviation of sEMG

Duffield

Peres

Amonette

et al. 2013

Proceedings of the Human Factors and Ergonomics Society Annual

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Certain muscle activities (e.g. static muscle activities for prolonged periods of time) and resultant movement patterns may be associated with the development of cumulative trauma disorders. Currently, there is no simple, well-defined measure to discern if a muscle is performing a static or dynamic activity. In this paper, we present the results of a simple study designed to investigate whether the standard deviation (SD) of sEMG is an effective method of identifying muscle dynamicity. Participants completed two separate tasks with a desktop touchscreen device-one requiring static muscle movements and the other to elicit dynamic movements while we measured muscle activity. The SD was more was more varied (M = 4.8 ±.4% MVC) during the dynamic task compared to the Static task (M = 2.5 ±0.2% MVC). Participants' muscles had a lower Mean (exertion) (M = 7.3 ± 0.8% MVC) in the dynamic task compared to the Static task (M = 11.6 ±1.1% MVC). This interaction of measure and task was significant, F(1,18) = 72.23, p < .001, η 2 = 0.80. Thus standard deviation of sEMG was found to be a valid measure of muscle dynamicity.

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Section: Introductionmentioning

confidence: 99%