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Title |
The Implementation of a Wireless Electroencephalogram Information System using WLAN |
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Author |
Haifeng Chen, Jungtae Lee |
| Citation |
Vol. 8 No. 2 pp. 166-172 |
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Abstract |
Recent technological advances in sensors and wireless communications have enabled the design of inexpensive, portable and intelligent physiological sensor nodes for healthcare or patient monitoring. In this study, we proposed an Internet based Electroencephalogram (EEG) information system using wireless local area network (WLAN), and developed a tiny WLAN-based portable EEG sensor node (named pEEG, up to 16-channel). With this system, EEG signals can be monitored by physicians in real-time via Internet, and the monitored EEG data is stored in the designed EEG database which is online and shared with researchers to analyze it via Internet. To manage pEEG nodes and client viewers, a server program has been developed. The developed client viewer serves researchers or physicians to access EEG database and provides some basic analysis tools. The EEG signal conditioning part of pEEG is verified and comparable with a commercial one. The whole system test shows that this system is helpful for acquiring clean real-time EEG in daily life remotely. With this system, remote EEG monitoring and analyzing can be realized more easily. The online EEG database also is helpful to understand EEG correctly. |
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Keywords |
Pervasive healthcare, EEG sensor node, EEG monitoring, Wireless LAN, TCP/IP chip |
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