11 search results - page 2 / 3 » Classification of EEG signals using relative wavelet energy ... |
ASC
2006
13 years 7 months ago
2006
Using artificial neural networks for Electroencephalogram (EEG) signal interpretation is a very challenging tasks for several reasons. The first class of reasons refers to the nat...
IJCNN
2008
IEEE
14 years 23 days ago
2008
IEEE
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
JDCTA
2010
13 years 1 months ago
2010
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
IJCNN
2007
IEEE
14 years 20 days ago
2007
IEEE
—One of the basic challenges to robust iris recognition is iris segmentation. This paper proposes the use of a feature saliency algorithm and an artificial neural network to perf...
BSN
2009
IEEE
13 years 4 months ago
2009
IEEE
Clinicians have determined that continuous ambulatory monitoring provides significant preventative and diagnostic benefit, especially to the aged population. In this paper we descr...