基于机器学习的疲劳分类,使用心率变化和皮质醇:一种多模式方法来监测可穿戴健康状况

Joung Eun Kim1, Na Hyeon Kim2,3, Soo Kyung Choi2

  • 1Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.

Digital health
|November 13, 2025
PubMed
概括

使用可穿戴传感器预测疲劳正在取得进展. 结合皮质醇和心率变化 (HRV) 显示出相对于单独的HRV的微小改善,这表明更简单的模型具有更少的变量是有效的疲劳监测.

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