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Central and peripheral shoulder fatigue pre-screening using the sigma-lognormal model: a proof of concept

Anaïs Laurent, Réjean Plamondon and Mickael Begon

Article (2020)

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Abstract

Background: Clinical tests for detecting central and peripheral shoulder fatigue are limited. The discrimination of these two types of fatigue is necessary to better adapt recovery intervention. The Kinematic Theory of Rapid Human Movements describes the neuromotor impulse response using lognormal functions and has many applications in pathology detection. The ideal motor control is modeled and a change in the neuromuscular system is reflected in parameters extracted according to this theory.

Objective: The objective of this study was to assess whether a shoulder neuromuscular fatigue could be detected through parameters describing the theory, if there is the possibility to discriminate central from peripheral fatigue, and which handwriting test gives the most relevant information on fatigue.

Methods: Twenty healthy participants performed two sessions of fast stroke handwriting on a tablet, before and after a shoulder fatigue. The fatigue was in internal rotation for one session and in external rotation during the other session. The drawings consisted of simple strokes, triangles, horizontal, and vertical oscillations. Parameters of these strokes were extracted according to the Sigma–Lognormal model of the Kinematic Theory. The evolution of each participant was analyzed through a U-Mann–Whitney test for individual comparisons. A Hotelling’s T2-test and a U-Mann–Whitney test were also performed on all participants to assess the group evolution after fatigue. Moreover, a correlation among parameters was calculated through Spearman coefficients to assess intrinsic parameters properties of each handwriting test.

Results: Central and peripheral parameters were statistically different before and after fatigue with a possibility to discriminate them. Participants had various responses to fatigue. However, when considering the group, parameters related to the motor program execution showed significant increase in the handwriting tests after shoulder fatigue. The test of simple strokes permits to know more specifically where the fatigue comes from, whereas the oscillations tests were the most sensitive to fatigue.

Conclusion: The results of this study suggest that the Sigma–Lognormal model of the Kinematic Theory is an innovative approach for fatigue detection with discrimination between the central and peripheral systems. Overall, there is a possibility to implement the setting for clinics and sports personalized follow-up.

Uncontrolled Keywords

sigma–Lognormal model; kinematic Theory of rapid human movement; central fatigue; peripheral fatigue; rotator cuff; handwriting; shoulder

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
1900 Biomedical engineering > 1903 Biomechanics
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
2700 Information technology > 2700 Information technology
Department: Department of Electrical Engineering
Institut de génie biomédical
Research Center: Scribens Laboratory
Funders: CRSNG / NSERC - Discovery Grant, Canada First Research Excellence Fund
Grant number: RGPIN-2015-06409, RGPIN-2019-04978
PolyPublie URL: https://publications.polymtl.ca/45957/
Journal Title: Frontiers in Human Neuroscience (vol. 14)
Publisher: Frontiers Media S.A.
DOI: 10.3389/fnhum.2020.00171
Official URL: https://doi.org/10.3389/fnhum.2020.00171
Date Deposited: 18 Apr 2023 15:01
Last Modified: 05 Jun 2024 13:57
Cite in APA 7: Laurent, A., Plamondon, R., & Begon, M. (2020). Central and peripheral shoulder fatigue pre-screening using the sigma-lognormal model: a proof of concept. Frontiers in Human Neuroscience, 14, 171 (16 pages). https://doi.org/10.3389/fnhum.2020.00171

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