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Published on: August 23, 2017
An entropy approach for evaluating adaptive motor learning processes while walking with unstable footwear
Michael Buchecker1, Erich Müller1, Stefan Wegenkittl2
1Department of Sport Science and Kinesiology, University of Salzburg, Schlossallee 49, 5400 Hallein/Rif, Austria.
Unstable shoes (US) decrease gait variability predictability, indicating a "decomplexification" of the motor system over time. This effect was more pronounced after a 10-week period compared to flat shoes (FS).
Area of Science:
- Biomechanics
- Human Movement Science
- Sports Medicine
Background:
- Gait variability is crucial for adaptability and stability.
- Unstable shoes (US) are designed to challenge postural control.
- The long-term effects of US on gait dynamics remain under investigation.
Purpose of the Study:
- To evaluate the short- and long-term effects of unstable shoes (US) on gait variability.
- To analyze changes in center of mass (vCOM) velocity signals using sample entropy (SEn).
- To compare gait dynamics between US and flat shoes (FS) over a 10-week period.
Main Methods:
- 12 sport students walked in US and FS before and after a 10-week accommodation period.
- Sample entropy (SEn) of center of mass velocity (vCOM) was calculated in medio-lateral (ML), anterior-posterior (AP), and vertical (VT) directions.
- Two-way repeated-measures ANOVA was used for statistical analysis (α=0.05).
Main Results:
- US use increased the predictability of vCOM time series compared to FS, particularly after the accommodation period.
- SEn values decreased for the US condition while remaining stable for FS, indicating reduced gait variability with US.
- Significant shoe-by-visit interaction effects were found for vCOMML, but not for vCOMAP or vCOMVT.
Conclusions:
- Adaptation to US leads to a
- decomplexification
- of the motor system, characterized by reduced gait variability.
- The training load associated with US interventions may be insufficient to enhance overall motor flexibility in athletes.
- Further research is needed to explore optimal training protocols with US for athletic populations.
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