DSMS in Ubiquitous-Healthcare: A Borealis-based Heart Rate Variability Monitor
With tremendous research progress in biomedical sensors and sensor networks, there is an increasingly need for employing new data processing technologies that are capable of online analysis of the streaming medical sensor data, which is a typical health monitoring scenario. This paper describes using the data stream management system (DSMS) in developing ubiquitous health monitoring application. We propose the system architecture suitable for simultaneously processing streaming data from heterogeneous sources and performing different monitoring tasks planned by clinicians. A pilot heart rate variability (HRV) monitor with a graphical user interface is developed based on Borealis and several tasks are implemented, including monitoring Rmssd, MeanHR (mean heart rate), and pNN50. Results of the test runs in the lab environment show the usefulness and potential of DSMS in performing intelligent real-time medical data processing.
Data Stream Management System Heart Rate Variability Ubiquitous Healthcare Real-Time Health Monitoring
Xiaorui Jiang Sooyoung Yoo Jinwook Choi
Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of S Department of Biomedical Engineering Seoul National University Seoul, Korea
国际会议
上海
英文
2157-2160
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）