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Background: The bench press (BP) is a complex exercise of the upper body in which great external loads can be lifted, requiring high neuromuscular activity. Electromyography (EMG) is the study of muscle function through the inquiry of the electrical signal the muscles emanate. Material/Methods: The aim of the present study was to analyze changes in the EMG activity of the prime movers during 10 sets of the flat bench press. 10 male athletes representing different sport disciplines, experienced in resistance training took part in the study. Results: In the first set all of the tested muscles increased their tension from the first 3 repetitions to the last 3 repetitions. The tension of these muscles increased in successive repetitions and reached significantly greater values in the last repetitions of the set. In the 10th final set of the BP exercise protocol the athletes performed only 8-9 repetitions and the activity of all studied muscles decreased significantly from the first 3 to the last 3 repetitions of the set. Conclusions: It seems that peripheral fatigue limits the number of repetitions in the first set of the BP, while central fatigue accumulates with each set, causing a very significant drop in the EMG activity and the load lifted in the 10th, last set of the exercise protocol.
Speed skating is a competitive form of ice skating in which the athletes race each other at distances from 500 to 10000 m. In speed skating the main components of specific fitness include acceleration, anaerobic sprint ability and explosive power of the lower extremities. A specific starting pattern in speed skating affects the relationships between strength of individual muscle groups. The main aim of this study was to analyse the pattern of internal structure of specific speed skating movements depending on their velocity – % PSE. The study examined six female athletes from the Polish National Speed Skating Team. The results of muscle activity index (4/7 and 4/10 PES mean) revealed statistically significant differences for the GM (Z=2.36; p=0.017), A (Z=2.02; p=0.04) and BF (Z=2.20; p=0.027) muscles respectively. The same analysis was performed for differences between peak activities at intensities of 4/7 PES and 4/10 PES. The results revealed statistically significant differences for the TFL (Z=2.52; p=0.011) and A (Z=2.20; p=0.027) and BF (Z=2.36; p=0.017) muscles. The results obtained in this study show that the more effective use of Gluteus Medius (GM), Adductor (A), Biceps Femoris (BF) and Tensor Fasciae Latae (TFL) muscles substantially improves starting speed in speedskating.
Background. General availability of sports results, such as current world records, world rankings, and results of the Olympic Games, offers opportunities for the analysis variation in many different competitions and sports. Current trends in the progress in sports performance have been analysed based on e.g. freestyle swimming. The focus of this study is on the analysis of variability of sports results in swimming achieved by women and men in 11 Olympic Games in 1972-2012. Material and Methods. The analysis was based on the results of top eight finalists in all four events. Four 100m sprinting events (men's and women's) included in the program of the Olympic Games (freestyle, backstroke, breaststroke and butterfly swimming) were analysed. Results. The analyses showed that a statistically significant difference in women's real and model results was found for the most recent Olympics in Rio de Janeiro in 2016 for the 100m breaststroke swimming. Conclusions. The predicted results suggest that during the next Olympic Games in Tokyo, dynamics of progress in women's results is likely to be faster compared to men in three discussed events: 100m breaststroke, 100m butterfly and 100m backstroke. The above trend may not be observed in these events. Therefore, future research studies should be aimed to verify this tendency and the dynamics of progress in the results in breaststroke, backstroke and butterfly stroke.
Background: ‪The bench press (BP) is a complex exercise of the upper body in which great external loads requiring high neuromuscular activity can be lifted. Electromyography (EMG) is a study of the muscle function through the inquiry of the electrical signal the muscles emanate. The aim of the present study was to analyse changes in EMG activity of the prime movers during 10 sets of the flat bench press. Material and methods: ‪Ten male athletes representing different sport disciplines, experienced in resistance training took part in the study. Results: ‪In the first set, all of the tested muscles increased their tension from the first 3 repetitions to the last 3 repetitions. The tension of these muscles increased in successive repetitions and reached significantly greater values in the last repetitions of the set. In the 10th final set of the BP exercise protocol the athletes performed only 8-9 repetitions, and the activity of all studied muscles decreased significantly from the first 3 to the last 3 repetitions of the set. Conclusions: ‪It seems that peripheral fatigue limits the number of repetitions in the first set of the BP, while central fatigue accumulates with each set, causing a very significant drop in EMG activity and the load lifted in the 10th, last set of the exercise protocol.
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Predicting competitive swimming performance

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The aim of this study was to present the results of analyses conducted by means of complementary analytic tools in order to verify their efficacy and the hypothesis that Kohonen’s neural models may be applied in the classification process of swimmers. A group of 40 swimmers, aged 23 ±5 years took part in this research. For the purpose of verification of usefulness of Kohonen’s neural models, statistical analyses were carried out on the basis of results of the independent variables (physiological and physical profiles, specific tests in the water). In predicting the value of variables measured with the so called strong scale regression models, numerous variables were used. The construction of such models required strict determination of the endogenous variable (Y – results for swim distances of 200 m crawl), as well as the proper choice of variables in explaining the study’s phenomenon. The optimum choice of explanatory variables for the Kohonen’s networks was made on the grounds of regression analysis. During statistical analysis of the gathered material neural networks were used: Kohonen’s feature maps (data mining analysis). The obtained model has the form of a topological map, where certain areas can be separated, and the map constructed in this way can be used in the assessment of candidates for sports training.
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