在体育科学中绘制人力资源价值:从监测到机器学习
Zhongyang Wang1, Jing Hu1, Wenbing Yu1
1Teaching Center of Fundamental Courses, Ocean University of China, Qingdao, China.
Frontiers in sports and active living
|January 28, 2026
概括
运动中的心率变化 (HRV) 研究正在迅速增长. 未来的趋势包括睡眠,机器学习和焦虑,以及运动员监测和脑震荡管理.
科学领域:
- 运动科学 运动科学 运动科学
- 自主神经系统研究 自主神经系统研究
- 图书统计学 图书统计学
背景情况:
- 心率变化 (HRV) 是自主神经系统功能的一个关键的非侵入性指标.
- HRV在体育科学中广泛用于训练负载,疲劳,恢复和性能.
- 不断扩大的HRV研究环境需要对其结构和趋势进行分析.
研究的目的:
- 在2010-2025年期间对体育 HRV 应用进行文献计量分析.
- 确定关键的研究主题,有影响力的贡献者和新兴趋势.
- 绘制体育 HRV 研究的知识结构和演变轨迹.
主要方法:
- 使用了图书识别可视化技术.
- 分析了来自Web of Science和Scopus的1660篇文章的数据.
- 使用了共同撰写,共同引用,关键字共同出现和爆发检测.
主要成果:
- 出版量大幅增长,在2022年达到顶峰.
- 美国和巴西是最具生产力的国家.
- 关键的研究领域包括运动员监测,生物反,脑震荡,焦虑和耐力运动.
结论:
- 运动中的HRV研究正在发展,在脑震荡和心理评估方面越来越重要.
- 未来的方向强调睡眠,机器学习和焦虑.
- 结果为未来的研究和体育科学中的实际应用提供了路线图.
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