Tracking of the Relevant Fitness Parameters in Young Basketball Players

Keywords:
Fitness indicators, Basketball Players, Team Sports

Abstract:
The application of modern technologies has become a critical issue in modern sports, which can be very helpful in improving the performances of athletes. The monitoring of many indicators has been realized by using flexible, wearable sensors. In the current study, we aimed to analyze the performance of young basketball players on four consecutive trial matches using the Kinexon perform mobile system which is one of the global market leaders in the field of real-time recording and processing of sports performance data. Twelve male members of the Hungarian national U18 basketball team were participants in this study. Measures of the study included internal and external load indicators. Accurate measurements about the total load from the data summarized in Kinexon were decisive for the model that the team had after the last game played. On the first day after the tournament, the team had a break with enough time to sleep and an appropriate dietary regime. On the second day after that, recovery training was done. The following day, the team was able to return to basketball training without great intensity and with a drastically reduced number of jumps as well as accelerations and decelerations. Based on the results of this study, we can conclude that Kinexon perform mobile system is a very useful tool in performance profiling, loads, and injury management.

CITATION:

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A. Gadžić, N. Trunić, A. Živković, D. Nikolić, “Tracking of the Relevant Fitness Parameters in Young Basketball Players,” in Sinteza 2023 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2023, pp. 267-271. doi:10.15308/Sinteza-2023-267-271

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Gadžić, A., Trunić, N., Živković, A., Nikolić, D. (2023). Tracking of the Relevant Fitness Parameters in Young Basketball Players. Paper presented at Sinteza 2023 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2023-267-271

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