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作 者:刘坤[1] 杨金瑞 薛东 汪瑞 王珍[1] Liu Kun;Yang Jinrui;Xue Dong;Wang Rui;Wang Zhen(School of Artificial Intelligence and Information Technology,Nanjing University of Chinese Medicine,Nanjing 210046,China)
机构地区:[1]南京中医药大学人工智能与信息技术学院,江苏南京210046
出 处:《无线互联科技》2022年第10期53-56,共4页Wireless Internet Technology
基 金:2020年国家级大学生创新创业训练计划项目,项目名称:岐黄助眠,项目编号:202010315019X。
摘 要:“睡得浅”“睡不着”以及“睡不好”已经成为广大群众日益困扰的问题。结合“互联网+医疗健康”的时代背景,文章研究并开发了一款致力于缓解用户失眠状况、提高其睡眠质量的睡眠测评与监测预警App。利用大数据技术、智能算法,探索失眠规律,建立睡眠质量等级分类模型。同时,以食疗、推拿等中医养生理论以及成果为基础,结合音乐、运动等方面,为用户制定融合中医特色的助眠方案。该方案融合中医“治未病”理念,增设预警功能,为用户更好地解决睡眠问题。“Sleeping shallow”“can’t sleep”and“not sleeping well”have become increasingly troubled problems of the general masses.Combined with the era background of“Internet+medical and health care”,the article has studied and developed a sleep evaluation,monitoring and early warning App dedicated to alleviating users’insomnia and improving their sleep quality.Use big data technology and intelligent algorithm to explore the law of insomnia and establish a sleep quality level classification model.At the same time,based on the food therapy,massage and other traditional Chinese medicine health theory and results,combined with music,sports and other aspects,to develop the integration of the characteristics of traditional Chinese medicine sleep assistance plan for users.In addition,the concept of“cure disease”of traditional Chinese medicine,early warning function is added to solve sleep problems for users.
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