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Journal of Bioengineering & Biomedical Science

ISSN: 2155-9538

Open Access

Ellouze N


Tunisia

Publications
  • Research Article
    Two-Stage Feature Selection Algorithm Based on Supervised Classification Approach for Automated Epilepsy Diagnosis
    Author(s): Mechmeche S, Salah RB and Ellouze NMechmeche S, Salah RB and Ellouze N

    Epileptic diagnosis is generally achieved by visual scanning of Interictal Epileptiform Discharges (IEDs) using EEG recordings. The main objective of this research is to select a smallest relevant feature subset from the original dataset in order to reduce the diagnosis time and increase classification accuracy by removing irrelevant and redundant features. For this purpose we suggest a two-stage feature selection algorithm based on supervised classification approach adopting successively a wrapper feature selection and a wrapper feature subset selection method. Matlab simulation results illustrate that through comparing the two classifiers, the high-dimensionality is reduced at only one relevant feature that showed classification metrics of 100%. The epilepsy diagnosis is successfully tested in the discriminant Fisher-space with the single-best relevant feature... Read More»
    DOI: 10.4172/2155-9538.1000183

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Citations: 307

Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report

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