All Outputs (6)

The utility of mathematical fitness-fatigue models for assisting with the planning of physical training for sport: from in silico experiments employing synthetic data, lower-bound operational conditions and model estimation, to the development of software resources for future research. (2021)
Thesis
STEPHENS HEMINGWAY, B.H. 2021. The utility of mathematical fitness-fatigue models for assisting with the planning of physical training for sport: from in silico experiments employing synthetic data, lower-bound operational conditions and model estimation, to the development of software resources for future research. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-1603154

The greatest potential application of mathematical models in sport science is to predict future performance of individual athletes in response to training, with sufficient accuracy to assist with planning of training programs and short tapering perio... Read More about The utility of mathematical fitness-fatigue models for assisting with the planning of physical training for sport: from in silico experiments employing synthetic data, lower-bound operational conditions and model estimation, to the development of software resources for future research..

The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design). (2021)
Preprint / Working Paper
STEPHENS HEMINGWAY, B., SWINTON, P. and OGOREK, B. 2021. The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design). SportRxiv [online]. Available from: https://doi.org/10.31236/osf.io/dx7gm

Fitting an FFM via NLS in practice assumes that a unique optimal solution exists and can be found by the algorithm applied. However, this idealistic scenario may not hold for two reasons: 1) the absolute minimum may not be unique; and 2) local minima... Read More about The suitability of a quasi-Newton algorithm for estimating fitness-fatigue models: sensitivity, troublesome local optima and implications for future research (an in silico experimental design)..

Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II. (2021)
Preprint / Working Paper
SWINTON, P., STEPHENS HEMINGWAY, B., RASCHE, C., PFEIFFER, M. and OGOREK, B. 2021. Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II. SportRxiv [online]. Available from: https://doi.org/10.31236/osf.io/5qgc2

The standard fitness-fatigue model (FFM) is known to include several limitations described by the linearity assumption, the independence assumption and the deterministic assumption. These limitations ensure that the modelled response to chronic train... Read More about Traditional and contemporary approaches to mathematical fitness-fatigue models in exercise science: a practical guide with resources. Part II..

Autoregulation in resistance training: addressing the inconsistencies. (2020)
Journal Article
GREIG, L., STEPHENS HEMINGWAY, B.H., ASPE, R.R., COOPER, K., COMFORT, P. and SWINTON, P.A. 2020. Autoregulation in resistance training: addressing the inconsistencies. Sports medicine [online], 50(11), pages 1873-1887. Available from: https://doi.org/10.1007/s40279-020-01330-8

Autoregulation is a process that is used to manipulate training based primarily on the measurement of an individual's performance or their perceived capability to perform. Despite being established as a training framework since the 1940s, there has b... Read More about Autoregulation in resistance training: addressing the inconsistencies..

A statistical framework to interpret individual response to intervention: paving the way for personalised nutrition and exercise prescription. (2018)
Journal Article
SWINTON, P.A., HEMINGWAY, B.S., SAUNDERS, B., GUALANO, B. and DOLAN, E. 2018. A statistical framework to interpret individual response to intervention: paving the way for personalised nutrition and exercise prescription. Frontiers in nutrition [online], 5, article number 41. Available from: https://doi.org/10.3389/fnut.2018.00041

The concept of personalised nutrition and exercise prescription represents a topical and exciting progression for the discipline given the large inter-individual variability that exists in response to virtually all performance and health related inte... Read More about A statistical framework to interpret individual response to intervention: paving the way for personalised nutrition and exercise prescription..

The effects of measurement error and testing frequency in applying the Fitness Fatigue Model to resistance training: a simulation study. [Poster] (2017)
Presentation / Conference Contribution
STEPHENS HEMINGWAY, B., BURGESS, K. and SWINTON, P. 2017. The effects of measurement error and testing frequency in applying the Fitness Fatigue Model to resistance training: a simulation study. Presented at the 2017 UK Strength and Conditioning Association annual conference (UKSCA 2017), 4-6 August 2017, Leicester, UK.

This research aims to assess the effects of measurement error (typical error) and testing frequency on the ability of the FFM to accurately model resistance training data. A simulation approach assuming correct model specification was used to identif... Read More about The effects of measurement error and testing frequency in applying the Fitness Fatigue Model to resistance training: a simulation study. [Poster].