Location of Repository

EEG Spikes Detection, Sorting, and Localization

By Mazin Z. Othman, Maan M. Shaker and Mohammed F. Abdullah

Abstract

Abstract—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. Keywords—EEG time localizations, EEG spike detection, superparamagnetic algorithm, wavelet transform

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.3615
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.waset.org/journals/... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.