双疲劳速度指导模型用于异动力训练:基于认知和sEMG的生理疲劳方法
概括
这项研究引入了一种新的双疲劳模型,用于异动力学训练,改善峰值扭矩和肌肉状况. 这种个性化的方法增强了体育康复和临床精确治疗.
科学领域:
- 生物医学工程 生物医学工程
- 康复科学 康复科学 康复科学
- 运动医学 运动医学
背景情况:
- 异动力训练对于康复是有效的,但最佳的训练速度仍然不清楚.
- 训练速度与人体生物物理状况之间的关系需要进行定量分析.
- 目前的方法缺乏基于实时疲劳指标的个性化调整.
研究的目的:
- 为异动力训练提出一个双疲劳速度指导模型.
- 为了整合生理疲劳 (使用sEMG) 和认知疲劳 (RPE尺度).
- 评估模型在提高身体表现和减少疲劳方面的有效性.
主要方法:
- 开发了一种双臂异动力训练机器人,配备了双疲劳速度引导模型.
- 将sEMG信号转换为马尔科夫状态过渡场 (MTF),以提取模块化 (MD) 作为生理疲劳指数.
- 结合MD与Borg RPE尺度用于认知疲劳评估,以指导训练速度.
主要成果:
- 双疲劳模型在一个月后证明了峰值扭矩,肌肉尺寸和认知疲劳的改善.
- 与常速训练相比,观察到绝对峰值扭矩 (P = 0.0427) 的显著增加.
- 该模型促进了个性化的体育康复和增强.
结论:
- 拟议的双疲劳模型为异动力学训练提供了个性化的方法.
- 这种方法通过适应个体疲劳水平来提高康复结果.
- 该模型显示了在临床精密治疗中应用的潜力.
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