HealthSense: classification of health-related sensor data through user-assisted machine learning
Proceedings of the 9th workshop on Mobile computing systems and applications
Advances and Challenges for Scalable Provenance in Stream Processing Systems
Provenance and Annotation of Data and Processes
Research issues in data provenance for streaming environments
Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS
Body sensor data processing using stream computing
Proceedings of the international conference on Multimedia information retrieval
Assuring data trustworthiness: concepts and research challenges
SDM'10 Proceedings of the 7th VLDB conference on Secure data management
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Remote health monitoring affords the possibility of improving the quality of health care by enabling relatively inexpensive out-patient care. However, remote health monitoring raises new a problem: the potential for data explosion in health care systems. To address this problem, the remote health monitoring systems must be integrated with analysis tools that provide automated trend analysis and event detection in real time. In this paper, we propose an overview of Century, an extensible framework for analysis of large numbers of remote sensor-based medical data streams.