The effect of core strength exercises on the enhancement of explosive qualities in throwing track and field athletes

Abstract

In this paper, an Apriori association rule optimization model based on the combination of transaction compression and Hash technology is proposed for the relationship between core strength exercises and the explosive strength quality of throwing track and field athletes. In order to improve the efficiency of mining, the Hash function is set on the basis of the FP-growth algorithm, and its grouping strategy is improved by the load optimization algorithm of the greedy strategy, and it is fused with the improved Apriori algorithm. Finally, we set up an athletic training comparison experiment with or without core strength exercises to explore the effect of core strength exercises on the improvement of explosive strength quality with the help of the fusion algorithm. After core strength exercises, the grip strength and vertical jump events of throwing athletes increased from 30.94 and 36.03 to 33.52 and 38.28, respectively, and the quality of explosive force was significantly improved. While comparing with the conventional strength exercises, the athletes who performed core strength exercises had a P-value of less than 0.05 in all the other five test items except static squat jump; the effect of the exercises was significantly better than that of the conventional strength exercises, and the lower limbs, trunk and waist and abdominal muscle groups, and the upper limbs explosive strength were also effectively improved.

Keywords

• apriori algorithm
• fp-growth algorithm
• hash technique
• greedy strategy
• explosive strength quality
• core strength
• 74f05