This study aims to provide a transferable methodology in the context of sport performance
modelling, with a special focus to the generalisation of models. Data were collected from …

Sports injury risk prediction plays an important role in evaluating the stability of the body in
the process of sports. Based on deep neural network and semi-supervised clustering theory …

The emergence of the first Fitness-Fatigue impulse responses models (FFMs) have allowed
the sport science community to investigate relationships between the effects of training and …

Explainable artificial intelligence (XAI) models with Shapley additive explanation (SHAP)
values allows multidimensional representation of movement performance interpreted on …

Purpose The aim of this study was to compare the suitability of models for practical
applications in training planning. Methods We tested six impulse-response models …

The purpose of the present study was to identify the performance determinant factors
predicting 15-m backstroke-to-breaststroke turning performance using and comparing linear …

Swim coaches routinely monitor the performance and performance determining variables of
their athletes to optimize training programs in an individual-specific manner with the ultimate …

There is a growing interest on wearable devices to monitor health during sport activities.
These devices may be used only for monitoring purposes or allow coaches to evaluate the …

The Banister impulse-response (IR) model was designed to predict an athlete's performance
ability from their past training. Despite its long history, the model's usefulness remains …

The goal of this study was to define the individual model characteristics of lactic acid
removal after 200m breaststroke competitive load in a female swimmer in relation to different …