Cargando…
Estimation of Knee Joint Forces in Sport Movements Using Wearable Sensors and Machine Learning
Knee joint forces (KJF) are biomechanical measures used to infer the load on knee joint structures. The purpose of this study is to develop an artificial neural network (ANN) that estimates KJF during sport movements, based on data obtained by wearable sensors. Thirteen participants were equipped wi...
Autores principales: | Stetter, Bernd J., Ringhof, Steffen, Krafft, Frieder C., Sell, Stefan, Stein, Thorsten |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6749227/ https://www.ncbi.nlm.nih.gov/pubmed/31450664 http://dx.doi.org/10.3390/s19173690 |
Ejemplares similares
-
A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks
por: Stetter, Bernd J., et al.
Publicado: (2020) -
Rollator usage lets young individuals switch movement strategies in sit-to-stand and stand-to-sit tasks
por: Herzog, Michael, et al.
Publicado: (2023) -
How does functionality proceed in ACL reconstructed subjects? Proceeding of functional performance from pre- to six months post-ACL reconstruction
por: Krafft, Frieder Cornelius, et al.
Publicado: (2017) -
Effect of Different Knee Braces in ACL-Deficient Patients
por: Focke, Anne, et al.
Publicado: (2020) -
A Systematic Review of Diagnostic Accuracy and Clinical Applications of Wearable Movement Sensors for Knee Joint Rehabilitation
por: Prill, Robert, et al.
Publicado: (2021)