Shoes and Insoles: The Influence on Motor Tasks Related to Walking Gait Variability and Stability
Articolo
Data di Pubblicazione:
2020
Abstract:
The rhythmic control of the lower limb muscles influences the cycle-to-cycle variability
during a walking task. The benefits of insoles, commonly used to improve the walking gait, have
been little studied. Therefore, the aim of this study was to assess the walking gait variability and
stability on di erent walking conditions (without shoes, WTS, with shoes, WS, with shoes and insoles,
WSI) related to brain activity. Twelve participants randomly (WTS/WS/WSI) walked on a treadmill
at 4 km/h for 10 min. Kinematic analysis (i.e., footstep and gait variability), brain activation (beta
wave signal), rating of perceived exertion (RPE, CR-10 scale), and time domain measures of walking
variability were assessed. The maximum Lyapunov exponent (LyE) on the stride cycle period’s
datasets was also calculated. Stride length and cycle calculated for all walking conditions were 61.59
2.53/63.38 1.43/64.09 2.40 cm and 1.11 0.03/1.14 0.03/1.15 0.04 s (F1,10 = 4.941/p = 0.01,
F1,10 = 4.938/p = 0.012) for WTS, WS, WSI, respectively. Beta wave (F1,10 = 564.201/p = 0.0001) was
higher in WTS compared to WS and WSI. Analysis of variance’s (ANOVA) LyE showed a F1,10 =
3.209/p = 0.056, while post hoc analysis showed a significant e ect between WS and WSI with p =
0.023, and nonsignificant e ects between WTS and WS/WSI (p = 0.070/0.607), respectively. Small
perturbations of the foot can influence the control of gait rhythmicity by increasing the variability in a
dissipative deterministic regimen.
during a walking task. The benefits of insoles, commonly used to improve the walking gait, have
been little studied. Therefore, the aim of this study was to assess the walking gait variability and
stability on di erent walking conditions (without shoes, WTS, with shoes, WS, with shoes and insoles,
WSI) related to brain activity. Twelve participants randomly (WTS/WS/WSI) walked on a treadmill
at 4 km/h for 10 min. Kinematic analysis (i.e., footstep and gait variability), brain activation (beta
wave signal), rating of perceived exertion (RPE, CR-10 scale), and time domain measures of walking
variability were assessed. The maximum Lyapunov exponent (LyE) on the stride cycle period’s
datasets was also calculated. Stride length and cycle calculated for all walking conditions were 61.59
2.53/63.38 1.43/64.09 2.40 cm and 1.11 0.03/1.14 0.03/1.15 0.04 s (F1,10 = 4.941/p = 0.01,
F1,10 = 4.938/p = 0.012) for WTS, WS, WSI, respectively. Beta wave (F1,10 = 564.201/p = 0.0001) was
higher in WTS compared to WS and WSI. Analysis of variance’s (ANOVA) LyE showed a F1,10 =
3.209/p = 0.056, while post hoc analysis showed a significant e ect between WS and WSI with p =
0.023, and nonsignificant e ects between WTS and WS/WSI (p = 0.070/0.607), respectively. Small
perturbations of the foot can influence the control of gait rhythmicity by increasing the variability in a
dissipative deterministic regimen.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
barefoot, electroencephalogram (EEG), foot, Lyapunov exponent, motor control
Elenco autori:
Russo, L; Di Capua, R; Arnone, B; Borrelli, M; Coppola, R; Esposito, F; Padulo, J
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