摘要
在健康中国大背景下,人们越来越关注自身健康。本文主要分析了SAEE(Stimulation,Adaptation,Evolution,Emergence)的复杂系统模型在主动健康领域中的应用情况。SAEE模型将人体看作一个开放复杂的系统,通过给予适当刺激来提高人体的适应能力。该模型在主动健康领域的具体使用方法为:采集用户的生理信号等多源数据,使用生成对抗网络等方法进行数据增强,利用信息熵等方法分析特征规律,最终给出个性化的评估和干预反馈。研究表明:SAEE模型可以更全面地评估健康状态,为主动健康提供新的理论工具和实践路径。但模型的有效性还需进一步验证,同时也存在一定的技术难点。总之,SAEE模型为实现主动健康提供了新视角,具有重要的应用前景和意义。
Under the background of Healthy China,people are paying more attention to their own health conditions.This paper introduces the application of a complex system model called SAEE(Stimulation,Adaptation,Evolution,Emergence)in the field of proactive health.The SAEE model regards the human body as an open complex mega-system,and aims to improve the body's adaptability by providing appropriate stimulations.This paper aims to elaborate the specific application methods of this model in proactive health,including:collecting multi-source data like users'physiological signals,augmenting data with generative adversarial networks,analyzing characteristic patterns using information entropy,and finally giving personalized assessment and intervention feedback.Studies have shown that the SAEE model can evaluate health conditions more comprehensively,providing new theoretical tools and practical approaches for proactive health.However,the validity of the model needs further verification,and there are some technical difficulties.In summary,the SAEE model provides a new perspective for achieving proactive health,and has important application prospects and significance.
作者
宋晓娜
庄洁
钱振宇
Song Xiaona;Zhuang Jie;Qian Zhenyu(School of Exercise and Health,Shanghai University of Sport,Shanghai 200438,China)
出处
《体育科技文献通报》
2023年第10期268-269,274,共3页
Bulletin of Sport Science & Technology
基金
国家重点研发计划课题“运动负荷强度精准测量技术和主动健康理论研究”(项目编号:2021YFC2009201)。
关键词
主动健康
复杂系统
生成对抗网络
健康评估
运动干预
proactive health
complex system
generative adversarial network
health assessment
exercise intervention
