Title : Intelligent Technologies and Techniques for Pervasive Computing
A novel combination of chaotic features and Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed for epileptic seizure recognition. The non-linear dynamics of the original EEGs are quantified in the form of the Hurst exponent (H), Correlation dimension (D2), Petrosian Fractal Dimension (PFD), and the Largest lyapunov exponent (?). The process of EEG analysis consists of two phases, namely the qualitative and quantitative analysis. The classification ability of the H, D2, PFD, and ? measures is tested using ANFIS classifier. This method is evaluated with using a benchmark EEG dataset, and qualitative and quantitative results are presented. The inter-ictal EEG-based diagnostic approach achieves 98.6% accuracy with using 4-fold cross validation. Diagnosis based on ictal data is also tested in ANFIS classifier, reaching 98.1% accuracy. Therefore, the method can be successfully applied to both inter-ictal and ictal data.
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30 جستجوی اخیر
- لک
- لک
- روانشناسی
- علوم تربیتی
- ادبیات
- مدارس
- ادبیات کودک و نوجوان
- علی نوفرستی
- peiravi
- کریمی
- مهاجرت
- مقصود
- حسابداری
- fatemeh mohammadi
- fatemeh hayati
- شیما ابراهیمی
- A theoretical approach on the ability of functionalized
- زرین
- رسانه
- hezar masjed
- هزار مسجد
- کپه داغ
- Khorassan-Kopet Dagh
- شیما ابراهیمی
- نیروگاه بادی
- Prevalence of Brucellosis in Equines of Mshhad-Iran
- شیما ابراهیمی
- اوتیسم
- desalination
- آب شیرین کن