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The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise
PURPOSE: The aim of the present study was to develop a novel index using fuzzy logic procedures conflating cardiorespiratory and pulmonary kinetics during dynamic exercise as a representative indicator for exercise tolerance. METHODS: Overall 69 data sets were re-analyzed: (age: 29 ± 1.2 y [mean ± S...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064983/ https://www.ncbi.nlm.nih.gov/pubmed/33598762 http://dx.doi.org/10.1007/s00421-021-04611-w |
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author | Drescher, U. |
author_facet | Drescher, U. |
author_sort | Drescher, U. |
collection | PubMed |
description | PURPOSE: The aim of the present study was to develop a novel index using fuzzy logic procedures conflating cardiorespiratory and pulmonary kinetics during dynamic exercise as a representative indicator for exercise tolerance. METHODS: Overall 69 data sets were re-analyzed: (age: 29 ± 1.2 y [mean ± SEM], height: 179 ± 1.0 cm; body mass: 78 ± 1.4 kg; peak oxygen uptake ([Formula: see text] ˙O(2peak)): 48 ± 1.1 ml·min(−1)·kg(−1)), that comprised pseudo random binary sequence work rate (WR) changes between 30 and 80 W on a cycle ergometer, with additional voluntary exhaustion to estimate [Formula: see text] O(2peak). Heart rate (HR), stroke volume (SV) and gas exchange (pulmonary oxygen uptake ([Formula: see text] O(2pulm))) were measured beat-to-beat and breath-by-breath, respectively. For estimation of muscle oxygen uptake ([Formula: see text] O(2musc)) kinetics and for the analysis of kinetic responses of the parameters of interest (perfusion ([Formula: see text] = HR·SV), [Formula: see text] O(2pulm), [Formula: see text] O(2musc)) the approach of Hoffmann et al. (2013) was applied. For calculation of the Fuzzy Kinetics Index [Formula: see text] , [Formula: see text] O(2pulm), and [Formula: see text] O(2musc) were used as input variables for the subsequent fuzzy- and defuzzyfication procedures. RESULTS: For both absolute and relative [Formula: see text] O(2peak) a significant correlation has been observed with FKI, whereas the correlation coefficient is higher for relative (r = 0.430; p < 0.001; n = 69) compared to absolute [Formula: see text] O(2peak) (r = 0.358; p < 0.01; n = 69). No significant correlations have been found between FKI and age, height or body mass (p > 0.05 each). CONCLUSIONS: The significant correlations between FKI and [Formula: see text] O(2peak) represent a physiological connection between the regulatory and the capacitive system and its exercise performance. In turn, the application of FKI can serve as an indicator for healthy participants to assess exercise tolerance and sport performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00421-021-04611-w. |
format | Online Article Text |
id | pubmed-8064983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80649832021-05-05 The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise Drescher, U. Eur J Appl Physiol Original Article PURPOSE: The aim of the present study was to develop a novel index using fuzzy logic procedures conflating cardiorespiratory and pulmonary kinetics during dynamic exercise as a representative indicator for exercise tolerance. METHODS: Overall 69 data sets were re-analyzed: (age: 29 ± 1.2 y [mean ± SEM], height: 179 ± 1.0 cm; body mass: 78 ± 1.4 kg; peak oxygen uptake ([Formula: see text] ˙O(2peak)): 48 ± 1.1 ml·min(−1)·kg(−1)), that comprised pseudo random binary sequence work rate (WR) changes between 30 and 80 W on a cycle ergometer, with additional voluntary exhaustion to estimate [Formula: see text] O(2peak). Heart rate (HR), stroke volume (SV) and gas exchange (pulmonary oxygen uptake ([Formula: see text] O(2pulm))) were measured beat-to-beat and breath-by-breath, respectively. For estimation of muscle oxygen uptake ([Formula: see text] O(2musc)) kinetics and for the analysis of kinetic responses of the parameters of interest (perfusion ([Formula: see text] = HR·SV), [Formula: see text] O(2pulm), [Formula: see text] O(2musc)) the approach of Hoffmann et al. (2013) was applied. For calculation of the Fuzzy Kinetics Index [Formula: see text] , [Formula: see text] O(2pulm), and [Formula: see text] O(2musc) were used as input variables for the subsequent fuzzy- and defuzzyfication procedures. RESULTS: For both absolute and relative [Formula: see text] O(2peak) a significant correlation has been observed with FKI, whereas the correlation coefficient is higher for relative (r = 0.430; p < 0.001; n = 69) compared to absolute [Formula: see text] O(2peak) (r = 0.358; p < 0.01; n = 69). No significant correlations have been found between FKI and age, height or body mass (p > 0.05 each). CONCLUSIONS: The significant correlations between FKI and [Formula: see text] O(2peak) represent a physiological connection between the regulatory and the capacitive system and its exercise performance. In turn, the application of FKI can serve as an indicator for healthy participants to assess exercise tolerance and sport performance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00421-021-04611-w. Springer Berlin Heidelberg 2021-02-18 2021 /pmc/articles/PMC8064983/ /pubmed/33598762 http://dx.doi.org/10.1007/s00421-021-04611-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Drescher, U. The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title | The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title_full | The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title_fullStr | The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title_full_unstemmed | The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title_short | The Fuzzy Kinetics Index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
title_sort | fuzzy kinetics index: an indicator conflating cardiorespiratory kinetics during dynamic exercise |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064983/ https://www.ncbi.nlm.nih.gov/pubmed/33598762 http://dx.doi.org/10.1007/s00421-021-04611-w |
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