18-09-2010, 05:34 PM
More Info About mobile health monitoring through biotelemetry
ABSTRACT
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.
reference
1 U. Anliker, et al. AMON: a wearable multiparameter medical monitoring and alert system. IEEE Trans. on Information Technology in Biomedicine, 8(4):415--427, Dec. 2004.
2 L. Biel, et al. ECG analysis: a new approach in human identification. IEEE Trans. on Instrumentation and Measurement, 50(3):808--812, June 2001.
3 Gari D. Clifford , Francisco Azuaje , Patrick McSharry, Advanced Methods And Tools for ECG Data Analysis, Artech House, Inc., Norwood, MA, 2006
4 Raghu K. Ganti , Praveen Jayachandran , Tarek F. Abdelzaher , John A. Stankovic, SATIRE: a software architecture for smart AtTIRE, Proceedings of the 4th international conference on Mobile systems, applications and services, June 19-22, 2006, Uppsala, Sweden [doi>10.1145/1134680.1134693]
5 A. L. Goldberger, et al. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101(23):e215--e220, June 2000.
ABSTRACT
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.
reference
1 U. Anliker, et al. AMON: a wearable multiparameter medical monitoring and alert system. IEEE Trans. on Information Technology in Biomedicine, 8(4):415--427, Dec. 2004.
2 L. Biel, et al. ECG analysis: a new approach in human identification. IEEE Trans. on Instrumentation and Measurement, 50(3):808--812, June 2001.
3 Gari D. Clifford , Francisco Azuaje , Patrick McSharry, Advanced Methods And Tools for ECG Data Analysis, Artech House, Inc., Norwood, MA, 2006
4 Raghu K. Ganti , Praveen Jayachandran , Tarek F. Abdelzaher , John A. Stankovic, SATIRE: a software architecture for smart AtTIRE, Proceedings of the 4th international conference on Mobile systems, applications and services, June 19-22, 2006, Uppsala, Sweden [doi>10.1145/1134680.1134693]
5 A. L. Goldberger, et al. PhysioBank, PhysioToolkit, and PhysioNet: Components of a new research resource for complex physiologic signals. Circulation, 101(23):e215--e220, June 2000.
