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Synchronization with fractal cueing| old_uid | 13215 |
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| title | Synchronization with fractal cueing |
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| start_date | 2013/12/19 |
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| schedule | 10h30-12h |
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| online | no |
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| location_info | EuroMov, salle EJM |
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| summary | This presentation will summarize the main results obtained during the last three years of my PhD. Human movements fluctuations are characterized by the presence of long-range (fractal) correlations. This feature is associated with optimal, healthy states while non-optimal states are associated with a loss of long-range correlations, toward more periodicity or more randomness (Lipsitz & Goldberger, 1992; Stergiou & Decker, 2011). Isochronous pacing is widely used for gait rehabilitation, but changes the stride time dynamics from persistent long-range correlations to anti-persistent (negative) correlations (Hausdorff et al., 1996; Delignières & Torre, 2009). We were looking for alternative pacing strategies preserving the fractal nature of stride time series. Different sets of experiments were run: interpersonal coordination, synchronization with non-isochronous metronomes or “human pacing”. It has been recently argued that synchronization with fractal environment could induce a matching between organism structure and environment structure (Stephen et al., 2008; Stepp & Turvey, 2010). We made a distinction between short-term fluctuations and long-term fluctuations in order to unravel their respective influence in the complexity matching. To do so we used a set of new non-linear tools, such as the Detrended Cross-Correlation Analysis (Delignières & Marmelat, 2013). The potential causes of the complexity matching observed during synchronization with fractal cueing will be discussed, as well as future potential applications for rehabilitation. |
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| responsibles | Hoffmann, Marin |
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