Automatic localisation of epileptic foci in long-term continuous EEG Online publication date: Sun, 13-Jul-2008
by K.P. Indiradevi, Elizabeth Elias, P.S. Sathidevi
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 1, No. 1, 2008
Abstract: We describe a new algorithm for identifying the signal epochs that contain the epileptiform transients in the long-term continuous EEG and automatic localisation of exact epileptic foci in the human epileptic brain using two-level multi-resolution analysis. Our system consists of three stages: detection of epileptic events using two-level multi-resolution analysis, extraction of spike portion of signal from raw EEG data and localisation of epileptic foci. The key points are: the computation of an appropriate adaptive threshold, the localisation of epileptic foci and computation of number of spikes per second. The results suggest that epileptic foci could be quantitatively identified and accurately localised using two-level multi-resolution analysis. In comparison to visual identification of spike, the new approach is sensitive and provides the possibility of classifying epilepsies into generalised and focal epilepsies. The proposed algorithm has been implemented in MATLAB.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook