Título : How does fatigue affect handstand balance? a non‑linear approach to study fatigue influence in handstand performance |
Autor : Sabido-Solana, Rafael García-Aguilar, Fernando Caballero, Carla Moreno, Francisco J. |
Editor : Springer |
Departamento: Departamentos de la UMH::Ciencias del Deporte |
Fecha de publicación: 2024 |
URI : https://hdl.handle.net/11000/39632 |
Resumen :
Background The handstand is an essential skill in acrobatic sports. This skill requires the athlete to maintain
an inverted upright stance with only the hands supported, which requires a great effort of muscular coordination
and motor control. Several factors influence the ability to control the posture, including fatigue, which is a bit studied
constraint of handstand performance.
Research question With the aim to find out whether variability in movement control can be an indicator of fatigue,
the present study was carried out.
Method Fourteen male acrobatic gymnasts were required to perform handstands. The time series for analyzing variability
were capturing using Force Platforms, which is a traditional laboratory instrument, and Inertial Measurement Units
(IMU), which is a more recent and less widely used, but more accessible tool. For this purpose, an analysis of the amount
of variability was carried out, using the standard deviation. And analysis of the structure of variability (or complexity), using
Detrended Fluctuation Analysis (DFA) and Fuzzy Entropy (FuEn).
Results Our results reveal that fatigue causes significant increases in the amount of variability in the medio-lateral
axis on the force platform, and in the IMU located in the area of the L5 vertebra. These changes are accompanied
by increased auto-correlation in the medio-lateral axis of the force platform, and more unpredictable behavior
in the L5 IMU.
Key points
• Amount of variability can discriminate between non-fatigued and fatigued states in force platform.
• Structure of variability can discriminate between non-fatigued and fatigued states in force platform.
• Movements are most affected in the medio-lateral axis.
• Forces produced to maintain balance exhibit smoother adjustments in fatigue state.
• Acceleration in the L5 tends to be less predictable in fatigue state.
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Palabras clave/Materias: variability complexity balance motor control gymnastic skills |
Área de conocimiento : CDU: Bellas artes: Diversiones. Espectáculos. Cine. Teatro. Danza. Juegos.Deportes |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1186/s12984-024-01442-6 |
Publicado en: Journal of NeuroEngineering and Rehabilitation - Vol. 21 (2024) |
Aparece en las colecciones: Artículos Ciencias del Deporte
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