ISSN : 2319-7323




INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING


Open Access

ABSTRACT

Title : Inter subject inconsistency measures of EEG data on the basis of correlation dimension
Authors : Md. Zakir Hossain, Md. Asadur Rahman
Keywords : Electroencephalographic (EEG); canonical correlation analysis (CCA); neutral network; inconsistency
Issue Date : November 2013
Abstract : Careful attentions must be required for analyzing high dimensional Electroencephalographic (EEG) signals. There have many discrepancy or linearity when signals are recorded at different stimulations for a subject. When these signals are collected for different trails of a subject, there have similarity also. In this paper, we want to measure this correspondence on the basis of correlation aspect. For this reason, we incorporate neural network with canonical correlation analysis (CCA) as a linear and nonlinear function. The effectiveness of the network capabilities is tested with a sine-cosine reference signals.
Page(s) : 335-340
ISSN : 2319-7323
Source : Vol. 2, No.6