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Lower extremity fatigue increases complexity of postural control during a single-legged stance

BACKGROUND: Non-linear approaches to assessment of postural control can provide insight that compliment linear approaches. Control entropy (CE) is a recently developed statistical tool from non-linear dynamical systems used to assess the complexity of non-stationary signals. We have previously used...

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Autores principales: McGregor, Stephen J, Armstrong, W Jeffrey, Yaggie, James A, Bollt, Erik M, Parshad, Rana, Bailey, Jerry J, Johnson, Sean M, Goin, Aleta M, Kelly, Samuel R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239328/
https://www.ncbi.nlm.nih.gov/pubmed/21816084
http://dx.doi.org/10.1186/1743-0003-8-43
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author McGregor, Stephen J
Armstrong, W Jeffrey
Yaggie, James A
Bollt, Erik M
Parshad, Rana
Bailey, Jerry J
Johnson, Sean M
Goin, Aleta M
Kelly, Samuel R
author_facet McGregor, Stephen J
Armstrong, W Jeffrey
Yaggie, James A
Bollt, Erik M
Parshad, Rana
Bailey, Jerry J
Johnson, Sean M
Goin, Aleta M
Kelly, Samuel R
author_sort McGregor, Stephen J
collection PubMed
description BACKGROUND: Non-linear approaches to assessment of postural control can provide insight that compliment linear approaches. Control entropy (CE) is a recently developed statistical tool from non-linear dynamical systems used to assess the complexity of non-stationary signals. We have previously used CE of high resolution accelerometry in running to show decreased complexity with exhaustive exercise. The purpose of this study was to determine if complexity of postural control decreases following fatiguing exercise using CE. METHODS: Ten subjects (5 M/5 F; 25 ± 3 yr; 169.4 ± 11.7 cm; 79.0 ± 16.9 kg) consented to participation approved by Western Oregon University IRB and completed two trials separated by 2-7 days. Trials consisted of two single-legged balance tests separated by two Wingate anaerobic tests (WAnT; PreFat/PostFat), or rest period (PreRest/PostRest). Balance tests consisted of a series of five single-legged stances, separated by 30 s rest, performed while standing on the dominant leg for 15-s with the participant crossing the arms over the chest and flexing the non-dominant knee to 90 degrees. High resolution accelerometers (HRA) were fixed superficial to L3/L4 at the approximate center of mass (COM). Triaxial signals from the HRA were streamed in real time at 625 Hz. COM accelerations were recorded in g's for vertical (VT), medial/lateral (ML), and anterior/posterior (AP) axes. A newly developed statistic (R-test) was applied to group response shapes generated by Karhunen Loeve (KL) transform modes resulting from Control Entropy (CE) analysis. RESULTS: R-tests showed a significant mean vector difference (p < .05) within conditions, between axes in all cases, except PostFat, indicating the shape of the complexity response was different in these cases. R-test between conditions, within axis, differences were only present in PostFat for AP vs. PreFat (p < .05). T-tests showed a significantly higher overall CE PostFat in VT and ML compared to PreFat and PostRest (p < .0001). PostFat CE was also higher than PostRest in AP (p < .0001). CONCLUSIONS: These data indicate that fatiguing exercise eliminates the differential complexity response between axes, but increases complexity in all axes compared to the non-fatigued condition. This has implications with regard to the effects of fatigue on strategies of the control system to maintain postural control.
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spelling pubmed-32393282011-12-16 Lower extremity fatigue increases complexity of postural control during a single-legged stance McGregor, Stephen J Armstrong, W Jeffrey Yaggie, James A Bollt, Erik M Parshad, Rana Bailey, Jerry J Johnson, Sean M Goin, Aleta M Kelly, Samuel R J Neuroeng Rehabil Research BACKGROUND: Non-linear approaches to assessment of postural control can provide insight that compliment linear approaches. Control entropy (CE) is a recently developed statistical tool from non-linear dynamical systems used to assess the complexity of non-stationary signals. We have previously used CE of high resolution accelerometry in running to show decreased complexity with exhaustive exercise. The purpose of this study was to determine if complexity of postural control decreases following fatiguing exercise using CE. METHODS: Ten subjects (5 M/5 F; 25 ± 3 yr; 169.4 ± 11.7 cm; 79.0 ± 16.9 kg) consented to participation approved by Western Oregon University IRB and completed two trials separated by 2-7 days. Trials consisted of two single-legged balance tests separated by two Wingate anaerobic tests (WAnT; PreFat/PostFat), or rest period (PreRest/PostRest). Balance tests consisted of a series of five single-legged stances, separated by 30 s rest, performed while standing on the dominant leg for 15-s with the participant crossing the arms over the chest and flexing the non-dominant knee to 90 degrees. High resolution accelerometers (HRA) were fixed superficial to L3/L4 at the approximate center of mass (COM). Triaxial signals from the HRA were streamed in real time at 625 Hz. COM accelerations were recorded in g's for vertical (VT), medial/lateral (ML), and anterior/posterior (AP) axes. A newly developed statistic (R-test) was applied to group response shapes generated by Karhunen Loeve (KL) transform modes resulting from Control Entropy (CE) analysis. RESULTS: R-tests showed a significant mean vector difference (p < .05) within conditions, between axes in all cases, except PostFat, indicating the shape of the complexity response was different in these cases. R-test between conditions, within axis, differences were only present in PostFat for AP vs. PreFat (p < .05). T-tests showed a significantly higher overall CE PostFat in VT and ML compared to PreFat and PostRest (p < .0001). PostFat CE was also higher than PostRest in AP (p < .0001). CONCLUSIONS: These data indicate that fatiguing exercise eliminates the differential complexity response between axes, but increases complexity in all axes compared to the non-fatigued condition. This has implications with regard to the effects of fatigue on strategies of the control system to maintain postural control. BioMed Central 2011-08-04 /pmc/articles/PMC3239328/ /pubmed/21816084 http://dx.doi.org/10.1186/1743-0003-8-43 Text en Copyright ©2011 McGregor et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
McGregor, Stephen J
Armstrong, W Jeffrey
Yaggie, James A
Bollt, Erik M
Parshad, Rana
Bailey, Jerry J
Johnson, Sean M
Goin, Aleta M
Kelly, Samuel R
Lower extremity fatigue increases complexity of postural control during a single-legged stance
title Lower extremity fatigue increases complexity of postural control during a single-legged stance
title_full Lower extremity fatigue increases complexity of postural control during a single-legged stance
title_fullStr Lower extremity fatigue increases complexity of postural control during a single-legged stance
title_full_unstemmed Lower extremity fatigue increases complexity of postural control during a single-legged stance
title_short Lower extremity fatigue increases complexity of postural control during a single-legged stance
title_sort lower extremity fatigue increases complexity of postural control during a single-legged stance
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3239328/
https://www.ncbi.nlm.nih.gov/pubmed/21816084
http://dx.doi.org/10.1186/1743-0003-8-43
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