Accelerometry

A neural network method to predict task- and step-specific ground reaction force magnitudes from trunk accelerations during running activities

Prediction of ground reaction force (GRF) magnitudes during running-based sports has several important applications, including optimal load prescription and injury prevention in athletes. Existing methods typically require information from multiple …

Biomechanical loading during running: can a two mass-spring-damper model be used to evaluate ground reaction forces for high-intensity tasks?

Running impact forces expose the body to biomechanical loads leading to beneficial adaptations, but also risk of injury. Highintensity running tasks, especially, are deemed highly demanding for the musculoskeletal system, but loads experienced during …

The feasibility of predicting ground reaction forces during running from a trunk accelerometry driven mass-spring-damper model

Background. Monitoring the external ground reaction forces (GRF) acting on the human body during running could help to understand how external loads influence tissue adaptation over time. Although mass-spring-damper (MSD) models have the potential to …

The Relationship Between Whole-Body External Loading and Body-Worn Accelerometry During Team-Sport Movements

Purpose: To investigate the relationship between whole-body accelerations and body-worn accelerometry during team-sport movements. Methods: Twenty male team-sport players performed forward running and anticipated 45° and 90° side-cuts at approach …