In:
International Journal of Neural Systems, World Scientific Pub Co Pte Ltd, Vol. 22, No. 02 ( 2012-04), p. 1250001-
Abstract:
This study evaluates the sensitivity, specificity and accuracy in associating scalp EEG to either control or epileptic patients by means of artificial neural networks (ANNs) and support vector machines (SVMs). A confluence of frequency and temporal parameters are extracted from the EEG to serve as input features to well-configured ANN and SVM networks. Through these classification results, we thus can infer the occurrence of high-risk (epileptic) as well as low risk (control) patients for potential follow up procedures.
Type of Medium:
Online Resource
ISSN:
0129-0657
,
1793-6462
DOI:
10.1142/S0129065712500013
Language:
English
Publisher:
World Scientific Pub Co Pte Ltd
Publication Date:
2012