The effects of neuromuscular fatigue on task performance during repetitive goal-directed movements.

Full Abstract

Proper movement timing is essential to the successful execution of many motor tasks and may be adversely affected by muscle fatigue. This study quantified how muscle fatigue affected task performance during a repetitive upper extremity task. A total of 14 healthy young adults pushed a low load back and forth along a low-friction horizontal track in time with a metronome until volitional exhaustion. Kinematic, force, and electromyography (EMG) data were measured continuously throughout the task. The first and last 3.5 min were analyzed to represent "early" and "late" fatigue. Means and standard deviations of movement distance, speed, and timing errors were computed. We also decomposed variations in movement distance and speed into deviations that directly affected achieving the task goal and those that did not, by identifying the goal equivalent manifold (GEM) of all valid solutions to this task. Detrended fluctuation analysis was used to quantify the temporal persistence in each time series. Principle components analysis provided a direct measure of alignment with the GEM. Median power frequencies of the EMG significantly decreased in six of the nine muscles tested indicating that subjects did fatigue. However, there were no differences in the means or variability of movement distance, speed, or timing errors. Thus, subjects maintained overall performance despite fatigue. Subjects applied slightly higher peak handle forces when they were fatigued (P = 0.032). Muscle fatigue caused significant reductions in the temporal persistence of movement speed (P = 0.037) and timing errors (P = 0.046), indicating that subjects corrected errors more quickly when fatigued. Mean deviations and variability perpendicular to the GEM were much smaller than variability along the GEM (P < 0.001). Deviations perpendicular to the GEM were also corrected much more rapidly than those along the GEM (P < 0.001). Subjects aligned themselves very closely (<+/-7 degrees ), but not exactly (P < 0.001), with the GEM. These measures were not significantly affected by muscle fatigue. Overall, these results indicated that subjects altered their biomechanical movement patterns in response to muscle fatigue, but did so in a way that specifically preserved the goal relevant features of task performance.

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Author information

Author/s: Gates, Deanna H (DH); Dingwell, Jonathan B (JB);

Affiliation: Department of Biomedical Engineering, University of Texas, Austin, TX 78712, USA.

Grants: EB003425 (Agency:United States NIBIB)

Journal and publication information

Publication Type: Journal Article; Research Support, N.I.H., Extramural

Journal: Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale (Exp Brain Res), published in Germany. (Language: eng)

Reference: 2008-Jun; vol 187 (issue 4) : pp 573-85

Dates: Created 2008/05/22; Completed 2008/07/22;

PMID: 18327575, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adult
Biomechanics
Electromyography - methods
Female
Goals
Humans
Male

Movement - physiology
Muscle Fatigue - physiology
Psychomotor Performance - physiology
Spectrum Analysis
Task Performance and Analysis
Time Factors
Upper Extremity - innervation; physiology

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