决定运动员神经生物反馈成功的因素

L. Cherapkina
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引用次数: 1

摘要

α刺激神经生物反馈被积极引入运动训练。成功的训练有助于最佳功能和运动表现的提高。然而,并不是所有的运动员都能达到他们的目标。主要的问题是缺乏数据来解释运动资格、专业和性别对成功的神经生物反馈的影响。的目标。本文探讨了建立运动资格、专业化(取决于运动特征)、性别和成功的神经生物反馈之间的关系。材料和方法。216名运动员(男124名,女92名)使用Boslab-alpha设备(俄罗斯)参加了为期15天的神经生物反馈课程。参与者平均年龄19±0.1岁。所有参加者均有5年或以上的运动经验。所有运动员都提供了参与研究的书面知情同意书。每天进行一次25 - 30分钟的神经生物反馈。电极按10-20国际系统(F1和P3)在额、顶叶区以双极模式设置。与前一次相比,α范围的频谱功率增加不少于10%被认为是成功的神经生物反馈。我们计算了每个参与者成功和不成功的培训课程的百分比。采用SPSS 13.0软件对所得数据进行统计分析。结果。对运动员在性别、运动资格、运动专业等方面分组成功训练的研究没有发现统计学上的显著差异。通过多因素离散度分析,证实运动员神经生物反馈的成功与否与上述所有因素有关(F = 2.780;P < 0.05)。结论。运动员成功的神经生物反馈是由性别、运动专业、运动资格三个因素共同决定的,单独研究时,这三个因素的影响并不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FACTORS DETERMINING SUCCESSFUL NEUROBIOFEEDBACK IN ATHLETES
Alpha-stimulating neurobiofeedback is actively introduced into sports training. Successful training contributes to optimal functioning and sports performance enhancement. However, not all athletes are able to achieve their goals. The main problem is the absence of the data explaining the effect of sports qualification, specialization, and gender on successful neurobiofeedback. Aim. The article deals with establishing the correlation between sports qualification, specialization (depending on movement character), gender, and successful neurobiofeedback. Materials and methods. 216 athletes (124 males and 92 females) participated in a 15-day neurobiofeedback course with the Boslab-alpha equipment (Russia). The average age of participants is 19 ± 0.1 years. All participants have 5 or more years of sports experience. All athletes provided their written informed consent for participation in the study. The 25–30-minute sessions of neurobiofeedback were conducted once per day. The electrodes were set up in the frontal and parietal area in a bipolar mode according to the 10–20 international system (F1 and P3). The increase in the spectrum power of alpha range by no less than 10 % compared to the previous session was considered as successful neurobiofeedback. We calculated the percentage of successful and unsuccessful training sessions for each participant. Statistical analysis of the data obtained was performed with the help of SPSS 13.0 software. Results. The study of successful training in athletes divided into groups in terms of gender, sports qualification, and sports specialization did not reveal any statistically significant differences. By using multifactor dispersion analysis, it was established that successful neurobiofeedback in athletes depended on all the abovementioned factors (F = 2.780; P < 0.05). Conclusion. Successful neurobiofeedback in athletes is determined by the combination of three factors (gender, sports specialization, sports qualification), which do not possess significant effect when studied separately.
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