Training Load

Training Load Monitoring

Key collaborators: Prof. Barry Drust - University of Birmingham, UK A. Prof. Jos Vanrenterghem - KU Leuven, Belgium Prof. Warren Gregson - LJMU, UK Understanding the dose-response relationship is fundamental to athletic monitoring and sports science.

Multidimensional ground reaction forces and moments from wearable sensor accelerations via deep learning

Objective: Monitoring athlete internal workload exposure, including prevention of catastrophic non-contact knee injuries, relies on the existence of a custom early-warning detection system. This system must be able to estimate accurate, reliable, and …

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 …

Measuring biomechanical loads in team sports – from lab to field

The benefits of differentiating between the physiological and biomechanical load-response pathways in football and other (team) sports have become increasingly recognised. In contrast to physiological loads however, the biomechanical demands of …

Identifying generalised segmental acceleration patterns that contribute to ground reaction force features across different running tasks

Objectives: To support future developments of field-based biomechanical load monitoring tools, this study aimed to identify generalised segmental acceleration patterns and their contribution to ground reaction forces (GRFs) across different running …

Whole-body biomechanical load in running-based sports: The validity of estimating ground reaction forces from segmental accelerations

Objectives: Unlike physiological loads, the biomechanical loads of training in running-based sports are still largely unexplored. This study, therefore, aimed to assess the validity of estimating ground reaction forces (GRF), as a measure of external …

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 …

Training Load Monitoring in Team Sports: A Novel Framework Separating Physiological and Biomechanical Load-Adaptation Pathways

There have been considerable advances in monitoring training load in running-based team sports in recent years. Novel technologies nowadays offer ample opportunities to continuously monitor the activities of a player. These activities lead to …

Mechanical Player Load™ using trunk-mounted accelerometry in football: Is it a reliable, task- and player-specific observation?

The aim of the present study was to examine reliability and construct convergent validity of Player Load™ (PL) from trunk-mounted accelerometry, expressed as a cumulative measure and an intensity measure (PL · min–1). Fifteen male participants twice …