摘要
运动干预是多种疾病的重要非药物干预手段,建立精准的运动负荷评估技术能有效提高运动干预的质量及疾病防控效率。本研究基于可穿戴设备的数据采集,对“适应—疲劳”原始数学模型进行非线性优化与实证验证,即通过建立时变衰减函数与特异性系数,构建能反映训练反应非线性特征的优化数学模型。本研究纳入13名受试者进行12周、每周3次的中等强度持续骑行训练,以个体为单位采集每次训练的外部负荷(实际做功)及内部负荷(心率变异性指数),进行优化模型与原始模型的性能对比。结果显示,优化模型整体拟合优度明显提升,预测能力整体表现也较优。综上所述,本文研究结果能为参与者训练计划的动态调整及慢病防控提供依据。
Exercise intervention is an important non-pharmacological intervention for various diseases,and establishing precise exercise load assessment techniques can improve the quality of exercise intervention and the efficiency of disease prevention and control.Based on data collection from wearable devices,this study conducts nonlinear optimization and empirical verification of the original"Fitness-Fatigue Model"'By constructing a time-varying attenuation function and specific coefficients,this study develops an optimized mathematical model that reflects the nonlinear characteristics of training responses.Thirteen participants underwent 12 weeks of moderate-intensity continuous cycling,three times per week.For each training session,external load(actual work done)and internal load(heart rate variability index)data were collected for each individual to conduct a performance comparison between the optimized model and the original model.The results show that the optimized model demonstrates a significantly improved overall goodness of fit and superior predictive ability.In summary,the findings of this study can support dynamic adjustments to participants'training programs and aid in the prevention and control of chronic diseases.
作者
王雯星
赵元慧
于文朗
任弘
WANG Wenxing;ZHAO Yuanhui;YU Wenlang;REN Hong(Physical Fitness and Health Research and Teaching Department,College of Sports Human Sciences,Beijing Sport University,Beijing 100084,P.R.China)
出处
《生物医学工程学杂志》
北大核心
2025年第4期739-747,共9页
Journal of Biomedical Engineering
基金
国家重点研发计划项目(2018YFC2000604)
中央高校基本科研业务费专项基金(2024016)。
关键词
运动负荷精准评估
训练监控
数学模型
慢病防控
非药物干预
Accurate assessment of exercise load
Training monitoring
Mathematical model
Chronic disease prevention and control
Non-pharmacological intervention
