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Updated: Sep 14, 2025

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基于心血管漂移使用机器学习量化骑自行车的训练反应

Artur Barsumyan1,2, Raman Shyla1, Anton Saukkonen3

  • 1Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany.

Frontiers in artificial intelligence
|July 21, 2025
PubMed
概括

机器学习模型使用心血管漂移和有氧脱准确预测耐力运动员的训练反应. 这项技术为教练提供了对健身适应和疲劳的见解,以进行个性化的训练决策.

关键词:
斯过程是高斯过程.有氧健身是有氧健身.心血管漂移的心血管漂移骑自行车的运动机器学习是机器学习.

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