The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
ISWC '00 Proceedings of the 4th IEEE International Symposium on Wearable Computers
Sensor Networks for Emergency Response: Challenges and Opportunities
IEEE Pervasive Computing
Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
Using Continuous Biometric Verification to Protect Interactive Login Sessions
ACSAC '05 Proceedings of the 21st Annual Computer Security Applications Conference
SATIRE: a software architecture for smart AtTIRE
Proceedings of the 4th international conference on Mobile systems, applications and services
Advanced Methods And Tools for ECG Data Analysis
Advanced Methods And Tools for ECG Data Analysis
Verification of humans using the electrocardiogram
Pattern Recognition Letters
Pattern Recognition
AMON: a wearable multiparameter medical monitoring and alert system
IEEE Transactions on Information Technology in Biomedicine
A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health
IEEE Communications Magazine
Activity-aware ECG-based patient authentication for remote health monitoring
Proceedings of the 2009 international conference on Multimodal interfaces
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As the population ages and the risk of chronic disease increases, the cost of healthcare will rise. Technology for mobile telemetry could reduce cost and improve the efficiency of treatment. In order to achieve these goals, we first need to overcome several technical challenges, including sufficient system lifetime, high signal fidelity, and adequate security. In this paper we present the design, implementation, and evaluation of a Mobile Biotelemetric System (MBS) that addresses these remote medical monitoring challenges. MBS comprises a custom low-power sensor node that accurately collects and analyzes electrocardiogram (ECG) data, a client service with a multifaceted policy engine that evaluates the data, and a web portal interface for visualizing ECG data streams. MBS differs from other remote monitoring systems primarily in the policy engine's ability to provide flexible, robust, and precise system communication from end-to-end and to enable tradeoffs in metrics such as power and transmission frequency. We show that, given a representative set of ECG signals, policies can be set to make the operation of the hardware and software resilient against transient ECG conditions. Further, we incorporate state-of-the-art security practices to safeguard our data and foil common attacks.