Ebtehal A. Alsaggaf

Work place: Faculty of Computing and Information Technology King Abdulaziz University KAU, Jeddah, Saudi Arabia

E-mail: caalsaggaf@kau.edu.sa

Website:

Research Interests: Applied computer science, Computer systems and computational processes, Computer Architecture and Organization, Theoretical Computer Science

Biography

Ebtehal A. Alsaggaf earned master degree in computer science at King Abdul-Aziz University, Jeddah, Saudi Arabia. She is working as lecturer at Faculty of Computing and Information
Technology – Computer Science Department- King Abdul-Aziz University, Jeddah, Saudi Arabia

Author Articles
EEG based Autism Diagnosis Using Regularized Fisher Linear Discriminant Analysis

By Mahmoud I. Kamel Mohammed J. Alhaddad Hussein M. Malibary Khalid Thabit Foud Dahlwi Ebtehal A. Alsaggaf Anas A. Hadi

DOI: https://doi.org/10.5815/ijigsp.2012.03.06, Pub. Date: 8 Apr. 2012

Diagnosis of autism is one of the difficult problems facing researchers. To reveal the discriminative pattern between autistic and normal children via electroencephalogram (EEG) analysis is a big challenge. The feature extraction is averaged Fast Fourier Transform (FFT) with the Regulated Fisher Linear Discriminant (RFLD) classifier. 
Gaussinaty condition for the optimality of Regulated Fisher Linear Discriminant (RFLD) has been achieved by a well-conditioned appropriate preprocessing of the data, as well as optimal shrinkage technique for the Lambda parameter. Winsorised Filtered Data gave the best result.

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