from 01.01.2022 until now
Polenov Research Institute of Neurosurgery (Normal'noy fiziologii, docent)
from 01.01.2023 until now
student from 01.01.2023 until now
Russian Federation
Russian Federation
student from 01.01.2003 until now
Russian Federation
1.2.2
5.8.5
5.6.6
2.2.12
347.514.3
355.233.22
00
77.00
20.00
09.00.00
32.00.00
44.00.00
3
74
75
5
7
COM089000
COM021000
COM023000
COM025000
COM074000
COM079010
COM032000
COM051300
Relevance. The control of training load in figure skating is conditioned by the need to increase the efficiency of athletes’ training and reduce the risk of overtraining and injuries. The use of modern technologies, such as the RecSport system, allows to optimize the training process due to automated, objective control of training load and taking into account the individual characteristics of the athlete. Objective. To analyze the training load performed by athletes in group training and in the pre-competition microcycle. Methods. Timing of training session using RecSport system (https://www.recsport.pro/) to measure load parameters in group and individual training of figure skaters. Results. In group training at performance of identical tasks the differences in the performed training load by athletes were revealed. In the pre-competition microcycle the analyzed dynamics of the training load of the athlete corresponds to his individual capabilities, the adequate reaction of the athlete’s body to the load was revealed, the duration of achieving the effect of supercompensation was 3 days. Conclusions. Control of training load on the basis of automated control promotes individualization of athletes’ training even in the conditions of group training, which improves the quality of training process and increases athletes’ sports readiness.
figure skating, training load, training process, RecSport system
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