Integrating wireless EEGs into medical sensor networks

Authors:
Behcet Sarikaya;M. Abdul Alim;Siamak Rezaei
Affiliations:
University of Northern British Columbia, Prince George, BC, Canada;University of Northern British Columbia, Prince George, BC, Canada;University of Northern British Columbia, Prince George, BC, Canada
Venue:
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Year:
2006

Citing 8
Cited 3

The fast Fourier transform and its applications

The fast Fourier transform and its applications
System architecture directions for networked sensors

ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
The nesC language: A holistic approach to networked embedded systems

PLDI '03 Proceedings of the ACM SIGPLAN 2003 conference on Programming language design and implementation
Sensor Networks for Emergency Response: Challenges and Opportunities

IEEE Pervasive Computing
Scalable topology control for deployment-support networks

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
The design and evaluation of a hybrid sensor network for Cane-Toad monitoring

IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Building classifiers using Bayesian networks

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
The design space of wireless sensor networks

IEEE Wireless Communications

EAP-Sens: a security architecture for wireless sensor networks

Proceedings of the 4th Annual International Conference on Wireless Internet
Probabilistic skyline queries

Proceedings of the 18th ACM conference on Information and knowledge management
The design of wireless sleep EEG measurement system with asynchronous pervasive sensing

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Wireless Electroencephalograms (EEG) are currently being used to wirelessly transmit the data from brain sensors to a computer and they carry huge potential for many future medical applications. This paper presents the design of a hybrid medical sensor network with Tmote Sky motes as wireless EEG sensor nodes at the lowest level collecting EEG signals and sending them to Stargate PDAs at the next level. Stargates perform artifact removal, Fourier transformation and feature extraction and the final machine intelligence algorithms are run at a PC server. Several features of the CodeBlue medical sensor network like query processing, routing layer are used in our design. The advantages of the hybrid medical sensor network integrating wireless EEGs include the capability to have the brain monitoring functionality incorporated into the medical sensor networks.