通过数据驱动的动态运动控制来实现个性化的心率管理
Takao Sato1, Tomoka Nishino2, Natsuki Kawaguchi2
1Department of Mechanical Engineering, Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo, 671-2280, Japan. tsato@eng.u-hyogo.ac.jp.
Scientific reports
|July 27, 2024
概括
这项研究利用数据驱动的方法优化了运动期间的心率控制. 该方法可以将目标心率的准确度提高40%,从而提高安全的运动和康复.
科学领域:
- 运动生理学 运动生理学
- 控制系统工程 控制系统工程
- 生物医学工程 生物医学工程
背景情况:
- 为了最大限度地提高健康的预期寿命,需要为健康和康复提供最佳的运动强度.
- 心率监测是控制运动强度的关键.
- 心率动态的个体变化需要个性化的控制参数.
研究的目的:
- 开发一种数据驱动的方法,以优化运动期间心率调节的比例积分 (PI) 控制参数.
- 为了实现安全有效的心率控制,以改善运动强度管理.
- 为了减少对主体大量运动的需求,以模拟心率动态.
主要方法:
- 使用比例积分 (PI) 控制系统动态调整自行车人体计负载.
- 采用数据驱动的设计方法,直接从练习数据中优化PI参数.
- 在15名健康志愿者身上验证了该方法,以评估心率控制的准确性.
主要成果:
- 在目标心率轨迹的控制误差中获得了大约40%的改善.
- 证明有效控制心率,不论受试者的性别或年龄.
- 确定女性倾向于在同等的工作负载下表现出比男性更高的心率.
结论:
- 建议的数据驱动PI参数优化对于在运动期间个性化心率控制有效.
- 这种方法提高了运动强度管理对健康和康复的安全性和有效性.
- 研究结果表明,心血管对运动负荷的反应可能存在基于性别的差异.
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