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优秀跳水运动员赛前脑功能训练适应状态的量化分析 被引量:6

Quantitative Analysis of Training Adaptive State of Elite Divers Brain Function Prior to Competition
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摘要 目的:了解跳水运动员赛前运动训练适应状态的特点,探讨其神经生理学特征。方法:利用高级运动训练状态监控仪采集26名备战第12届全国运动会的跳水运动员赛前不同阶段90个样本的脑电(EEG)α波的功率谱值,同时采集其训练计划完成情况等相关数据,采用自组织特征映射(SOM)神经网络聚类分析的方法对其训练适应状态进行分类,并对不同状态运动员的相关指标进行统计分析。结果:优秀跳水运动员的脑电α波功率谱主要集中于10 Hz,国际健将与健将之间的功率值无显著性差异;脑信息熵的变化值与运动成绩的变化值呈中等强度负相关关系(P<0.05);状态一般运动员赛前8 Hz水平显著高于状态优秀运动员(P<0.05),而10 Hz水平显著低于状态优秀运动员(P<0.05)。结论:国际健将与健将之间脑电α波序参量水平差异不显著,无法直接辨别出适应状态的差异;通过脑信息熵的变化可以推测运动员一段时间的运动成绩,即熵值减小,则运动表现更好;SOM聚类分析方法可以将不同训练适应状态的运动员进行分类。 Objective To understand the features of training adaptive state of elite divers brain function before competition. Methods 90 samples of EEG ot wave from 26 elite divers were collected before the 12th National Games. At the same time ,the completion of training plan and performance of the divers were recorded. Neural networks cluster analysis of self-organizing feature map (SOM) was applied to classify the training adaptive state of the divers. Results The EEG α wave of elite divers (including international master sportsman and national master sportsman)was focused on 10 Hz. The changing value of brain information entropy correlated negatively to the performance (P 〈 0.05). The 8 Hz frequency was more seen and 10 Hz frequency was less seen in average level divers than in elite divers (P 〈 0.05). Conclusions There was no significant difference in training adaptive state among the elite diving athletes. The changing value of brain information entropy could predict the athletic performance of divers in a period of time.
出处 《中国运动医学杂志》 CAS 北大核心 2015年第4期383-387,共5页 Chinese Journal of Sports Medicine
基金 广东省体育局重大科研项目(GDSS13001)
关键词 跳水 训练适应状态 聚类分析 diving, training adaptive state, cluster, brain
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  • 1Haken H. Principles of brain functioning: A synergetic ap- proach to brain activity, behavior and cognition [M]. Springer Publishing Company, Incorporated, 2012.
  • 2李捷.优秀运动员运动训练的自主适应控制原理一脑研究与2008奥运会的训练学思维[A];第七届全国体育科学大会论文摘要汇编(二)[C];2004.
  • 3Del Percio C, Babiloni C, Marzano N, et al. Neural efficiency of athletes brain for upright standing: A high-resolution EEG study[J]. Brain Res Bull, 2009, 79(3-4): 193-200.
  • 4Claudio Del Percioa, Infarinato F, Iaeoboni M, et al. Move- ment-related desynehronization of alpha rhythms is lower in athletes than non-athletes: a high-resolution EEG study[J]. Clin Neurophysiol, 2010, 121(4): 482-491.
  • 5Babiloni C, Del Percio C, Rossini PM, et al. Judgment of ac- tions in experts: A high-resolution EEG study in elite athletes [J]. Neurolmage, 2009, 45(2) :512-521.
  • 6Steriade M, Llinas RR. The functional states of the thalamus and the associated neuronal interplay [J]. Physiol Rev, 1988, 68(3):649-742.
  • 7Talairach J, Tournoux P. Co-planar stereotaxic atlas of the human brain: 3-dimensional proportional system-an approach to cerebral imaging [M]. New York: Thieme Medical Publish- ers, 1988.
  • 8Urbano A, Babiloni C, Onorati P, et al. Human cortical activ- ity related to unilateral movements. A high resolution EEG study[J]. Neuroreport, 1996, 8(1):203-206.
  • 9李捷.现代运动训练系统的自组织理论及其哲学思辩[J].体育科学,1998,18(6):34-38. 被引量:22
  • 10Ra'/ssa Onanenaa, Latifa Oukhellou, Etienne C:Jme E, et al. Fuel cell health monitoring using self organizing maps [J]. Chemical Engineering Transactions, 2013, 33: 1021-1026.

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