解放军医学院学报2025，Vol.46Issue(7)：723-728,6.DOI:10.12435/j.issn.2095-5227.25020601
机器学习在运动性疲劳评估中的应用
Research advances in machine learning in exercise-induced fatigue evaluation and application
摘要
Abstract
Exercise-induced fatigue is a physiological state in which the body is temporarily unable to sustain a certain level of exercise intensity or performance during or after physical activity.An accurate evaluation of exercise-induced fatigue is essential for preventing sports injuries,enhancing athletic performance,and mitigating safety incidents.Machine learning(ML)has effectively improved the accuracy and automation of fatigue evaluation by processing and modeling complex multi-dimensional data.This article provides a brief overview of the evaluation methods for exercise-induced fatigue,with a particular focus on reviewing the role and application directions of ML in the assessment of exercise-induced fatigue,aiming to offer references for optimizing fatigue management and enhancing athletic performance.关键词
运动性疲劳/机器学习/人工智能/监测/诊断/预防Key words
exercise-induced fatigue/machine learning/artificial intelligence/monitor/diagnosis/prevention分类
医药卫生引用本文复制引用
王鹏举,李梦伟,彭程,赵双琳,张明月,王翔,曹江北,罗云根..机器学习在运动性疲劳评估中的应用[J].解放军医学院学报,2025,46(7):723-728,6.基金项目
省部级课题 （）
