Training Load | Mark A Robinson

Training Load Monitoring

Wed, 08 Jul 2020 15:43:18 +0000

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. Monitoring of individual players “dose” of exercise is now possible through wearable multi-sensor technology fusing GPS, accelerometry and gyroscopic data. Research in this theme has redressed the balance between metabolic and mechanical dose and response (see Vanrenterghem et al. 2017) whilst exploring if relevant field based measures are possible.

Award winning PhD students Niels Nedergaard (Young Investigator Award - Aspire Monitoring Athlete Training Loads Conference, Doha, Qatar) and Jasper Verheul (BJSM - PhD Academy Award) have evaluated the challenge of predicting ground reaction forces from acceleration signals (see Nedergaard et al. 2018) and summarised the challenge of making field-based biomechanical measurements for practioners (see Verheul et al. 2020)

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

Tue, 30 Jun 2020 00:00:00 +0000

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

Wed, 01 Apr 2020 00:00:00 +0000

Measuring biomechanical loads in team sports – from lab to field

Wed, 01 Jan 2020 00:00:00 +0000

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

Sat, 01 Jun 2019 00:00:00 +0000

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

Sat, 01 Jun 2019 00:00:00 +0000

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

Mon, 01 Apr 2019 00:00:00 +0000

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

Sat, 01 Dec 2018 00:00:00 +0000

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

Wed, 01 Nov 2017 00:00:00 +0000

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

Fri, 01 Sep 2017 00:00:00 +0000

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

Sun, 01 Jan 2017 00:00:00 +0000