Original Paper

Journal of Medical Systems

, Volume 34, Issue 3, pp 303-311

A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation

  • Haifeng ChenAffiliated withGraduate School of Computer Science and Engineering, Pusan National University
  • , Wanqing WuAffiliated withGraduate School of Computer Science and Engineering, Pusan National University
  • , Jungtae LeeAffiliated withGraduate School of Computer Science and Engineering, Pusan National University Email author 

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Abstract

In this study, a flexible wireless body area network (WBAN) node platform has been designed and implemented based on the Zigbee technology. In order to provide wide range WBAN for health monitoring, a Zigbee/Internet Gateway (ZiGW) has also been developed rather than using a PDA or a host PC to connect different WBANs by using the Internet as the communication infrastructure. The proposed body sensor node platform promises a cost-effective, flexible platform for developing physical sensor node in real-time health monitoring. The ZiGW can provide an effective method to connect WBAN with the Internet. In this work, we present the implementation of an Electroencephalogram (EEG) monitoring system using the proposed methods. In this proposed system, real-time EEG signals can be remotely monitored by physicians via Internet, and the collected EEG data is stored in the online EEG database which can be shared with physicians or researchers for further analysis.

Keywords

Wireless body area network Sensor node platform Zigbee/Internet gateway EEG conditioning EEG monitoring