Resource-aware secure ECG healthcare monitoring through body sensor networks

Honggang Wang, Dongming Peng, Wei Wang, Hamid Sharif, Hsiao Hwa Chen, Ali Khoynezhad

Research output: Contribution to journalArticle

101 Scopus citations

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.

Original languageEnglish (US)
Article number5416345
Pages (from-to)12-19
Number of pages8
JournalIEEE Wireless Communications
Volume17
Issue number1
DOIs
StatePublished - Feb 2010

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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