Cargando…
The Use of a Single Trunk-Mounted Accelerometer to Detect Changes in Center of Mass Motion Linked to Lower-Leg Overuse Injuries: A Prospective Study
Movement dynamics during running was previously characterized using a trunk-mounted accelerometer, and were associated with a history of overuse injuries. However, it remains unknown if these measures are also linked to the development of overuse injuries. The aim of this study was therefore to dete...
Autores principales: | Aristizábal Pla, Gerard, Hollville, Enzo, Schütte, Kurt, Vanwanseele, Benedicte |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588413/ https://www.ncbi.nlm.nih.gov/pubmed/34770692 http://dx.doi.org/10.3390/s21217385 |
Ejemplares similares
-
Impact of Gender and Feature Set on Machine-Learning-Based Prediction of Lower-Limb Overuse Injuries Using a Single Trunk-Mounted Accelerometer
por: Bogaert, Sieglinde, et al.
Publicado: (2022) -
Wireless Tri-Axial Trunk Accelerometry Detects Deviations in Dynamic Center of Mass Motion Due to Running-Induced Fatigue
por: Schütte, Kurt H., et al.
Publicado: (2015) -
Accelerometer Based Data Can Provide a Better Estimate of Cumulative Load During Running Compared to GPS Based Parameters
por: Vanwanseele, Benedicte, et al.
Publicado: (2020) -
Machine-learned-based prediction of lower extremity overuse injuries using pressure plates
por: Nuyts, Loren, et al.
Publicado: (2022) -
Data fusion of body-worn accelerometers and heart rate to predict VO(2max) during submaximal running
por: De Brabandere, Arne, et al.
Publicado: (2018)