摘要
在临床重症病人的连续观测中,医疗设备及其上的传感器会产生数量庞大的流式数据,传统的数据库管理方式无法适应这一不确定性强、实时处理要求高的数据流.本文提出一个适合医疗设备数据处理的数据流模型,并分析其系统结构、查询计划、查询语言以及网络适应性.
A number of streaming data are generated by medical equipments and sensors all over the hospital,especially in the Intensive Care Unit（ICU） with many digital equipments and seriously ill patients.In these applications,data does not take the form of finite stored data sets,but rather arrives in multiple,continuous,rapid,time-varying data streams.Applications that require real-time processing of high-volume data streams are pushing the limits of traditional data processing infrastructures.In this paper,we present a data stream processing model for clinical equipments,thus,we discuss the system structure,query plan,query language and adaptability.
出处
《漳州师范学院学报（自然科学版）》
2010年第4期69-72,共4页
Journal of ZhangZhou Teachers College（Natural Science)
关键词
医疗设备
传感器
数据处理
数据流模型
Medical equipments
Sensors
Data processing
Data stream model
