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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..

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..