AI生理数据监测下的篮球训练疲劳调控策略探讨

【中图分类号】G841 【文献标识码】A 【文章编号】2095-2813(2025)28-0015-03

Exploration of Fatigue Regulation Strategies in Basketball Training Under Al Physiological Data Monitoring

LI Qianru HenanNormalUniversity,Xinxiang,HenanProvince,453oo7China [Abstract]Basketballisharacterizedbyhigh intensityfrequentintervals,and strong confrontations.Theaccumulation and regulationoffatigue during training directly affct the training effct and the risk of athletes'injuries.This paper introduces AI-based physiological data monitoring technologyandanalyzes ts significance infatigue regulationfrom threeaspects:quantitativecharacterization,real-time identification,and individualthreshold positioning; Itfocuseson discussing four specificisues,namely fatiguejudgmentaccuracy,monitoring dimensioncoverage,feedback timeliness, and solutions homogenization; Furthermore,it proposes four feasible strategies:constructing a multi-dimensional monitoring model,dynamicallyadjusting monitoring parameters,developingareal-time early warning system,and formulating diferentiatedregulation plans.Thesestrategies provideapracticalpath forthescientificregulationoffatigue in basketball training.

[Keywords]AIphysiological datamontoring;Basketbal training;Fatigue regulation;Heartratevariability;Surface electromyographic signals

篮球运动的竞技特性要求运动员在训练中持续承受心肺功能负荷与神经肌肉负荷，若疲劳得不到及时调控，不仅会导致训练效果衰减，还可能引发肌肉拉伤、肌腱炎等运动损伤，甚至影响后续比赛表现。（剩余4828字）