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Joint range of motion entropy changes in response to load carriage in military personnel

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posted on 2023-08-30, 16:14 authored by Andrew Morrison, Jack Hale, Susan Brown
Background: Overuse accounts for 82% of injuries in military personnel, and these occur predominantly in the spine and low limbs. While non-linear analyses have shown changes in overall stability of the movement during load carriage, individual joint contributions have not been studied. The concept of entropy compensation between task, organism and environmental constraints is studied at a joint level. Research Question: The aim of this study was to investigate whether using different methods of loading by military personnel would have an effect on the sample entropy of the joint ranges of motion. Methods: Eleven male reserve infantry army soldiers (age: 22  2 years; height: 1.80  0.06 m; mass: 89.3  14.4 kg) walked an outdoor, 800m course under 5 load conditions: unloaded, 15kg backpack, 25kg backpack, 15kg webbing and backpack and 25kg webbing and backpack. Kinematic data was recorded at 240Hz using the Xsens motion capture system. The ranges of motion (ROM) of the spine, hips and knee were calculated for each gait cycle. Mean ROM, coefficient of variation of the ROM and the sample entropy of the ROM were compared between conditions. Results: Spine side flexion ROM decreased significantly from the control condition in all loaded conditions, while sample entropy of the spine side flexion ROM increased in some conditions with no significant change in Coefficient of Variation (CV). Conversely, the hip flexion ROM increased significantly from the control, while sample entropy of the hip flexion ROM decreased. Significance: These results suggest that entropy compensation may propagate at a joint level. Understanding that a decrease in certainty with which a joint angle is selected, may be accompanied by an increase at a neighbouring joint. This could be significant in monitoring injuries as a result of environmental or task constraints.

History

Refereed

  • Yes

Volume

66

Page range

249-257

Publication title

Human Movement Science

ISSN

1872-7646

Publisher

Elsevier

File version

  • Accepted version

Language

  • eng

Legacy posted date

2019-04-30

Legacy creation date

2019-04-29

Legacy Faculty/School/Department

Faculty of Science & Engineering

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