Analysis Of Martial Arts Athletes' Goniometric Indicators
PHYSICAL EDUCATION OF STUDENTS(2017)
摘要
Purpose: comparative analysis of limbs' joints goniometric indicators of martial arts athletes; study of sportsmanship level influence on kick boxers' movements' amplitude.Material: martial arts athletes - students and senior pupils (n=29) participated in the research. The participants were divided into two groups. 1st group consisted of 18 kick boxers of age 17.44 +/- 0.34 years. 2nd group included 11 wrestlers of age 18.45 +/- 0.39 years. The first group was divided into two sub-groups: sub group 1a - 9 athletes of age 18.22 +/- 0.52 years and sportsmanship level: candidates and masters of sports. Sub group 1b consisted of 9 athletes, age (16.67 +/- 0.24) years and sportsmanship level from beginners to 1st sport category. We registered movements' amplitude in wrist, shoulder, elbow, hip, knee and ankle joints.Results: we confirmed the distinctions of goniometric indicators of martial arts athletes' limbs joints. It was found that sportsmanship level of kick-boxers influences to certain extent on movements' amplitude. The found distinctions reflect clearly specific of kind of sports. Wrestlers have higher amplitude of movements in wrist joints that determines reliable grip in a fight. Kick boxers have better amplitude of movements in elbow and shoulder joints. It permits to punch with higher strength. The closeness of goniometric indicators of different sportsmanship kick-boxers proves equal orientation of their training. Need in constant keeping combat stance conditions reduction of in-movement amplitude in right wrist joint and outside movement in left shoulder joint of experienced athletes.Conclusions: increase of abduction in hip joint and reduction of bending in left knee joint illustrate specificities of punching/kicking, optimization of their technique in experienced athletes. The higher is training experience, the more working asymmetry of joints' movements is.
更多查看译文
关键词
martial arts, goniometric, indicators, successfulness, asymmetry
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要