REGmon: A web application for athlete monitoring in sport practice and research
DOI:
https://doi.org/10.51224/SRXIV.342Keywords:
athlete monitoring, web application, sport pratice, sport science research, data analysis, longitudinal dataAbstract
REGmon is a web-based application for collecting, analyzing, and visualizing longitudinal data. The intended use cases are on the one hand to support athletes, coaches, and other practitioners to realize individualized athlete monitoring approaches in sport practice and on the other hand to enable efficient data management for researchers in sport science contexts. By using costumizable forms, i.e., input masks, the application is designed to empower the collection of monitoring parameters of interest, including various types of training and competition load, athlete responses, performance, and health outcomes as well as contextual factors such as qualitative notes, sleep, nutrition, and training phases. The application is written in PHP and JavaScript and requires a web server including a SQL database. REGmon can be installed using a docker image deployed on a favored and safe web server making the responsive front-end accessible via web browsers on smartphones, tablets, computers, and other devices.
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Copyright (c) 2023 Christian Strotkötter, Kevin Bach, Dimitris Bechtsis, Pantelis Radouniklis, Mark Pfeiffer (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
