Resource-aware secure ECG healthcare monitoring through body sensor networks

Authors:
Honggang Wang;Dongming Peng;Wei Wang;Hamid Sharif;Hsiao-Hwa Chen;Ali Khoynezhad
Affiliations:
University of Massachusetts, Dartmouth;University of Nebraska-Lincoln;University of Nebraska-Lincoln;University of Nebraska-Lincoln;National Cheng Kung University;University of Nebraska Medical Center
Venue:
IEEE Wireless Communications
Year:
2010

Citing 10
Cited 6

SPINS: security protocols for sensor networks

Wireless Networks
Wireless Sensor Networks for Health Monitoring

MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Energy Minimization and Reliability for Wearable Medical Applications

ICPPW '06 Proceedings of the 2006 International Conference Workshops on Parallel Processing
Security and Privacy in Sensor Networks

Computer
An adaptive approach for image encryption and secure transmission over multirate wireless sensor networks

Wireless Communications & Mobile Computing - Distributed Systems of Sensors and Actuators
Image transmissions with security enhancement based on region and path diversity in wireless sensor networks

IEEE Transactions on Wireless Communications
Energy-Constrained Distortion Reduction Optimization for Wavelet-Based Coded Image Transmission in Wireless Sensor Networks

IEEE Transactions on Multimedia
Classification by nonlinear integral projections

IEEE Transactions on Fuzzy Systems
Wireless technology advances and challenges for telemedicine

IEEE Communications Magazine
A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health

IEEE Communications Magazine

A new energy-efficient pre-diagnosing ECG transmission technique for BASN

Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Building service-oriented Smart Infrastructures over Wireless Ad Hoc Sensor Networks: A middleware perspective

Computer Networks: The International Journal of Computer and Telecommunications Networking
Towards implementing a fully wireless multiple-lead electrocardiograph

Proceedings of the Fifth International Conference on Body Area Networks
A secure handshake scheme with symptoms-matching for mHealthcare social network

Mobile Networks and Applications - Special issue on Wireless and Personal Communications
An mHealth System for Monitoring of Children with Suspected Cardiac Arrhythmias

International Journal of Monitoring and Surveillance Technologies Research
ROCHAS: robotics and cloud-assisted healthcare system for empty nester

BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Real-time medical data about patients' physiological status can be collected simply by using wearable medical sensors based on a body sensor network. However, we lack an efficient, reliable, and secure BSN platform that can meet increasing needs in e-healthcare applications. Many such applications require a BSN to support multiple data rates with reliable and energyefficient data transmission. In this article we propose a secure and resource-aware BSN architecture to enable real-time healthcare monitoring, especially for secure wireless electrocardiogram data streaming and monitoring. A cross-layer framework was developed based on unequal resource allocation to support efficient biomedical data monitoring. In this framework important information (e.g., critical ECG data) is identified, and extra resources are allocated to protect it. Furthermore, BSN resource factors are exploited to guarantee a strict requirement of real-time performance. In this work we integrate biomedical information processing and transmission in a unified platform, where secure data transmission in a BSN proceeds with energy efficiency and minimum delay. In particular, we present a wearable ECG device consisting of small and low-power healthnode sensors for wireless three-lead ECG monitoring. Experimental and simulation results demonstrate that the proposed framework can support real-time wireless biomedical monitoring applications.