Balance on different unstable supports: a complementary approach based on linear and non-linear analyses
被引:4
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作者:
McCamley, John
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MORE Fdn, Human Mot Lab, 18444 N 25th Ave,Suite 110, Phoenix, AZ 85023 USA
Univ Nebraska, Dept Biomech, Ctr Res Human Movement Variabil, 6160 Univ Dr South, Omaha, NE 68182 USAMORE Fdn, Human Mot Lab, 18444 N 25th Ave,Suite 110, Phoenix, AZ 85023 USA
McCamley, John
[1
,2
]
Bergamini, Elena
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机构:
Univ Rome Foro Ital, Dept Movement Human & Hlth Sci, Interuniv Ctr Bioengn Human Neuromusculoskeletal, Piazza Lauro de Bosis 15, I-00135 Rome, ItalyMORE Fdn, Human Mot Lab, 18444 N 25th Ave,Suite 110, Phoenix, AZ 85023 USA
Bergamini, Elena
[3
]
Grimpampi, Eleni
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机构:
Movement Sci Dept, Decathlon SportsLab, 4 Rue Prof Langevin, F-59000 Lille, FranceMORE Fdn, Human Mot Lab, 18444 N 25th Ave,Suite 110, Phoenix, AZ 85023 USA
Grimpampi, Eleni
[4
]
机构:
[1] MORE Fdn, Human Mot Lab, 18444 N 25th Ave,Suite 110, Phoenix, AZ 85023 USA
[2] Univ Nebraska, Dept Biomech, Ctr Res Human Movement Variabil, 6160 Univ Dr South, Omaha, NE 68182 USA
[3] Univ Rome Foro Ital, Dept Movement Human & Hlth Sci, Interuniv Ctr Bioengn Human Neuromusculoskeletal, Piazza Lauro de Bosis 15, I-00135 Rome, Italy
[4] Movement Sci Dept, Decathlon SportsLab, 4 Rue Prof Langevin, F-59000 Lille, France
Maintenance of postural control is a complex task that requires the integration of different sensory-motor processes. To improve postural control, balance training is often implemented using unstable surfaces. Little is known, however, about how different surfaces compare in terms of postural control strategy. Non-linear dynamical system analysis, like recurrent quantification analysis (RQA) applied to the center of pressure (CoP) trajectory, represents a useful tool in this respect. The aim of this study is to investigate the effects of different unstable supports on the CoP trajectory through a complementary approach based on linear and non-linear analyses. Seventeen healthy adults performed barefoot single-leg balance trials on a force plate and on three different balance training devices (soft disc, foam pad, and pillow). Sets of parameters were extracted from the CoP trajectories using classical stabilometric analysis (sway path, mean velocity, root mean square) and RQA (percent recurrence and determinism, maximum line length, entropy). Both classical and RQA analyses highlighted significant differences between stable (force plate) and unstable conditions (p < 0.001). Conversely, only classical stabilometric parameters showed significant differences among the considered balance training devices, indicating that the different characteristics of the devices do not influence the dynamic/temporal structure of the CoP trajectory.