%0 Journal Article
	%A Mazin Z. Othman and  Maan M. Shaker and  Mohammed F. Abdullah
	%D 2007
	%J International Journal of Electronics and Communication Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 9, 2007
	%T EEG Spikes Detection, Sorting, and Localization
	%U https://publications.waset.org/pdf/2354
	%V 9
	%X This study introduces a new method for detecting,
sorting, and localizing spikes from multiunit EEG recordings. The
method combines the wavelet transform, which localizes distinctive
spike features, with Super-Paramagnetic Clustering (SPC) algorithm,
which allows automatic classification of the data without assumptions
such as low variance or Gaussian distributions. Moreover, the method
is capable of setting amplitude thresholds for spike detection. The
method makes use of several real EEG data sets, and accordingly the
spikes are detected, clustered and their times were detected.
	%P 1401 - 1404