摘要
动态心电图是人体在非平静状态下监测心电信号,具有常规心电图没有体现的临床价值。为了实时监测动态心电图,并针对用户个人信息进行综合诊断,提出了基于Hadoop集群的无线动态心电分析系统。客户端采用Android App完成交互显示,档案及诊断管理及紧急呼救等功能。服务端利用云计算层次化服务模型框架搭建云平台,使用Hadoop集群分析海量生理数据,通过运动干预、健康风险评估等服务帮助用户。系统运行结果显示,其能完成大数据条件下对动态心电的存储和分析。改善了传统医疗监护系统存储、处理海量数据等方面能力不足的问题。通过分析病人的特征数据,匹配相似病例帮助医生提高诊断精度、预测治疗效果,使病人随时可以获得医疗服务,有助于解决老龄化、医疗费用高等社会问题,具有重要的现实意义。
Dynamic electrocardiogram （ECG） is to monitor ECG signal of human during daily activities, which has more clinical value than conventional ECG. In order to monitor dynamic ECG in reai-time and perform comprehensive diagnosis according to users＇ person- al information, a wireless dynamic electrocardiogram analysis system with Hadoop cluster has been designed and implemented, in which Android App on mobile devices is used as client to display status, manage files, perform diagnosis, and make emergency call, etc. The cloud platform utilizes generic hierarchical service modeling framework to analyze massive amounts of physiological data through a Ha- doop cluster,and through exercise intervention,health risk assessment and other services to provide assistance for users. Results show that the system can complete storage and analysis tasks of the dynamic ECG under the condition of large data. It has solved the problem of that the traditional monitoring technology has been unable to effectively carry on the management and analysis. The analysis of the features of patient data and matching similar cases could help doctors improve the diagnostic accuracy and predict the treatment effect, and also can provide the patients access to medical service at any time. The system has the important practical significance in solving the issues with the ageing society and high medical treatment costs.
出处
《计算机技术与发展》
2017年第4期157-160,共4页
Computer Technology and Development
基金
国家自然科学基金资助项目(GZ212062)
