The STUDIA UNIVERSITATIS BABEŞ-BOLYAI issue article summary

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Introduction: The automated supervision of the training load implies the use of software in taking decisions regarding the optimum training load for each step of the training cycle. Coaches and athletes could equally benefit from using this type of method in their preparation process. Materials and methods: A model based on Petri Nets was developed in order to supervise training. The model corresponds to a one week training cycle (six training sessions, one training session per day). After the first session, the athletes are evaluated with the Rating of Perceived Exertion (RPE) method. Next morning, they assess themselves for overtraining with the Anderson questionnaire. Based on these two parameters and on the performed training session’s level, a decision is made regarding the next workout. Results: The developed model was implemented and the resulting application was called SUPERTRAIN. Coaches and athletes can use it by introducing the number of points resulted after the overtraining evaluation, the number of arbitrary units resulted after the session-RPE evaluation, and the previous training load level. The output of the application is the level of the training load for the next workout. Conclusions: In the future, the training process could be improved by the use of automated tools such as SUPERTRAIN. The result is expected to be an enhancement in the athletic performance.

Keywords: training load, automated supervision, Petri Nets, model.