Extracting information from multichannel versus single channel EEG data in epilepsy analysis
James, C. J. (2002) Extracting information from multichannel versus single channel EEG data in epilepsy analysis. In: Hyder, A. K. and Shahbazian, E. and Waltz, E. , (eds.) Multisensor fusion. Dordrecht: Kluwer Academic. ISBN 1402007221Full text not available from this repository.
|Item Type:||Book Item|
|Divisions:||Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)|
|Place of Publication:||Dordrecht|
|Book Title:||Multisensor fusion|
|Editor:||Hyder, A. K. and Shahbazian, E. and Waltz, E.|
|Number of Pages:||944|
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
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