@article{(Open Science Index):https://publications.waset.org/pdf/15577,
	  title     = {A New Technique for Multi Resolution Characterization of Epileptic Spikes in EEG},
	  author    = {H. N. Suresh and  Dr. V. Udaya Shankara},
	  country	= {},
	  institution	= {},
	  abstract     = {A technique proposed for the automatic detection
of spikes in electroencephalograms (EEG). A multi-resolution
approach and a non-linear energy operator are exploited. The
signal on each EEG channel is decomposed into three sub bands
using a non-decimated wavelet transform (WT). The WT is a
powerful tool for multi-resolution analysis of non-stationary signal
as well as for signal compression, recognition and restoration.
Each sub band is analyzed by using a non-linear energy operator,
in order to detect spikes. A decision rule detects the presence of
spikes in the EEG, relying upon the energy of the three sub-bands.
The effectiveness of the proposed technique was confirmed by
analyzing both test signals and EEG layouts.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {2},
	  number    = {9},
	  year      = {2008},
	  pages     = {2090 - 2093},
	  ee        = {https://publications.waset.org/pdf/15577},
	  url   	= {https://publications.waset.org/vol/21},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 21, 2008},
	}