A WBAN-based Real-time Electroencephalogram Monitoring System: Design and Implementation |
| |
Authors: | Haifeng Chen Wanqing Wu Jungtae Lee |
| |
Institution: | (1) Graduate School of Computer Science and Engineering, Pusan National University, Busan, Republic of Korea |
| |
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: | |
本文献已被 SpringerLink 等数据库收录! |
|