摘要
本文介绍了一种基于移动医疗的孕产妇健康监护系统。系统利用可穿戴设备检测用户的心电和血氧饱和度信号,在智能终端完成量表筛查和孕产妇临床信息的录入。上述结果及医院生化分析结果通过移动互联网上传到云服务器端,利用机器学习算法进行数据挖掘,能够实现孕产妇身体及精神健康状态的评估与监护,最终结果与保健指导可以发送到用户的智能终端进行显示及存储。
Wearable devices are used in the new design of the maternal health care system to detect electrocardiogram and oxygen saturation signal while smart terminals are used to achieve assessments and input maternal clinical infor- mation, All the results combined with biochemical analysis from hospital are uploaded to cloud server by mobile In ternet. Machine learning algorithms are used for data mining of all information of subjects. This system can achieve the assessment and care of maternal physical health as well as mental health. Moreover, the system can send the re- sults and health guidance to smart terminals.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2016年第1期2-7,共6页
Journal of Biomedical Engineering
基金
广东省科技计划项目资助(2013B021800027)
广州市科技计划项目资助(2014Y2-00062)
华南理工大学中央高校基本科研业务费资助(2013ZM046
2015ZZ042)