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How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill?
In rehabilitation, rhythmic acoustic cues are often used to improve gait. However, stride-time fluctuations become anti-persistent with such pacing, thereby deviating from the characteristic persistent long-range correlations in stride times of self-paced walking healthy adults. Recent studies there...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521716/ https://www.ncbi.nlm.nih.gov/pubmed/26230254 http://dx.doi.org/10.1371/journal.pone.0134148 |
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author | Roerdink, Melvyn Daffertshofer, Andreas Marmelat, Vivien Beek, Peter J. |
author_facet | Roerdink, Melvyn Daffertshofer, Andreas Marmelat, Vivien Beek, Peter J. |
author_sort | Roerdink, Melvyn |
collection | PubMed |
description | In rehabilitation, rhythmic acoustic cues are often used to improve gait. However, stride-time fluctuations become anti-persistent with such pacing, thereby deviating from the characteristic persistent long-range correlations in stride times of self-paced walking healthy adults. Recent studies therefore experimented with metronomes with persistence in interbeat intervals and successfully evoked persistent stride-time fluctuations. The objective of this study was to examine how participants couple their gait to a persistent metronome, evoking persistently longer or shorter stride times over multiple consecutive strides, without wandering off the treadmill. Twelve healthy participants walked on a treadmill in self-paced, isochronously paced and non-isochronously paced conditions, the latter with anti-persistent, uncorrelated and persistent correlations in interbeat intervals. Stride-to-stride fluctuations of stride times, stride lengths and stride speeds were assessed with detrended fluctuation analysis, in conjunction with an examination of the coupling between stride times and stride lengths. Stride-speed fluctuations were anti-persistent for all conditions. Stride-time and stride-length fluctuations were persistent for self-paced walking and anti-persistent for isochronous pacing. Both stride times and stride lengths changed from anti-persistence to persistence over the four non-isochronous metronome conditions, accompanied by an increasingly stronger coupling between these gait parameters, with peak values for the persistent metronomes. These results revealed that participants were able to follow the beat of a persistent metronome without falling off the treadmill by strongly coupling stride-length fluctuations to the stride-time fluctuations elicited by persistent metronomes, so as to prevent large positional displacements along the treadmill. For self-paced walking, in contrast, this coupling was very weak. In combination, these results challenge the premise that persistent metronomes in gait rehabilitation would evoke stride-to-stride dynamics reminiscent of self-paced walking healthy adults. Future studies are recommended to include an analysis of the interrelation between stride times and stride lengths in addition to the correlational structure of either one in isolation. |
format | Online Article Text |
id | pubmed-4521716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45217162015-08-06 How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? Roerdink, Melvyn Daffertshofer, Andreas Marmelat, Vivien Beek, Peter J. PLoS One Research Article In rehabilitation, rhythmic acoustic cues are often used to improve gait. However, stride-time fluctuations become anti-persistent with such pacing, thereby deviating from the characteristic persistent long-range correlations in stride times of self-paced walking healthy adults. Recent studies therefore experimented with metronomes with persistence in interbeat intervals and successfully evoked persistent stride-time fluctuations. The objective of this study was to examine how participants couple their gait to a persistent metronome, evoking persistently longer or shorter stride times over multiple consecutive strides, without wandering off the treadmill. Twelve healthy participants walked on a treadmill in self-paced, isochronously paced and non-isochronously paced conditions, the latter with anti-persistent, uncorrelated and persistent correlations in interbeat intervals. Stride-to-stride fluctuations of stride times, stride lengths and stride speeds were assessed with detrended fluctuation analysis, in conjunction with an examination of the coupling between stride times and stride lengths. Stride-speed fluctuations were anti-persistent for all conditions. Stride-time and stride-length fluctuations were persistent for self-paced walking and anti-persistent for isochronous pacing. Both stride times and stride lengths changed from anti-persistence to persistence over the four non-isochronous metronome conditions, accompanied by an increasingly stronger coupling between these gait parameters, with peak values for the persistent metronomes. These results revealed that participants were able to follow the beat of a persistent metronome without falling off the treadmill by strongly coupling stride-length fluctuations to the stride-time fluctuations elicited by persistent metronomes, so as to prevent large positional displacements along the treadmill. For self-paced walking, in contrast, this coupling was very weak. In combination, these results challenge the premise that persistent metronomes in gait rehabilitation would evoke stride-to-stride dynamics reminiscent of self-paced walking healthy adults. Future studies are recommended to include an analysis of the interrelation between stride times and stride lengths in addition to the correlational structure of either one in isolation. Public Library of Science 2015-07-31 /pmc/articles/PMC4521716/ /pubmed/26230254 http://dx.doi.org/10.1371/journal.pone.0134148 Text en © 2015 Roerdink et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Roerdink, Melvyn Daffertshofer, Andreas Marmelat, Vivien Beek, Peter J. How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title | How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title_full | How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title_fullStr | How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title_full_unstemmed | How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title_short | How to Sync to the Beat of a Persistent Fractal Metronome without Falling Off the Treadmill? |
title_sort | how to sync to the beat of a persistent fractal metronome without falling off the treadmill? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521716/ https://www.ncbi.nlm.nih.gov/pubmed/26230254 http://dx.doi.org/10.1371/journal.pone.0134148 |
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