All Title Author
Keywords Abstract

Publish in OALib Journal
ISSN: 2333-9721
APC: Only $99


Relative Articles


Qualitative and Quantitative Evaluation of EEG Signals in Epileptic Seizure Recognition

DOI: 10.5815/ijisa.2013.06.05

Keywords: ANFIS , EEG , Hurst Exponent , Lyapunov Exponent

Full-Text   Cite this paper   Add to My Lib


A chaos-ANFIS approach is presented for analysis of EEG signals for epileptic seizure recognition. The non-linear dynamics of the original EEGs are quantified in the form of the hurst exponent (H) and largest lyapunov exponent (λ). The process of EEG analysis consists of two phases, namely the qualitative and quantitative analysis. The classification ability of the H and λ measures is tested using ANFIS classifier. This method is evaluated with using a benchmark EEG dataset, and qualitative and quantitative results are presented. Our inter-ictal EEG based diagnostic approach achieves 97.4% accuracy with using 4-fold cross validation. Diagnosis based on ictal data is also tested in ANFIS classifier, reaching 96.9% accuracy. Therefore, our method can be successfully applied to both inter-ictal and ictal data.


comments powered by Disqus

Contact Us


WhatsApp +8615387084133

WeChat 1538708413