Cargando…
Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach
Ground reaction forces are often used by sport scientists and clinicians to analyze the mechanical risk-factors of running related injuries or athletic performance during a running analysis. An interesting ground reaction force-derived variable to track is the maximal vertical instantaneous loading...
Autores principales: | Derie, Rud, Robberechts, Pieter, Van den Berghe, Pieter, Gerlo, Joeri, De Clercq, Dirk, Segers, Veerle, Davis, Jesse |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7010603/ https://www.ncbi.nlm.nih.gov/pubmed/32117918 http://dx.doi.org/10.3389/fbioe.2020.00033 |
Ejemplares similares
-
Change-Point Detection of Peak Tibial Acceleration in Overground Running Retraining
por: Van den Berghe, Pieter, et al.
Publicado: (2020) -
Music-based biofeedback to reduce tibial shock in over-ground running: a proof-of-concept study
por: Van den Berghe, Pieter, et al.
Publicado: (2021) -
Physical factors that differentiate body kinematics between treadmill and overground walking
por: Jung, Mingi, et al.
Publicado: (2022) -
Muscle Activation Patterns Are More Constrained and Regular in Treadmill Than in Overground Human Locomotion
por: Mileti, Ilaria, et al.
Publicado: (2020) -
Overground Walking in a Fully Immersive Virtual Reality: A Comprehensive Study on the Effects on Full-Body Walking Biomechanics
por: Horsak , Brian, et al.
Publicado: (2021)