Epilepsy diagnosis using probability density functions of EEG signals
Yazarlar (4)
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Prof. Dr. Mahmut HEKİM
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Zonguldak Bulent Ecevit University, Türkiye
Brno University Of Technology, Çek Cumhuriyeti
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| DOI Numarası | 10.1109/INISTA.2011.5946171 |
| Bildiri Dili | İngilizce |
| Kongre Adı | 2011 International Symposium on Innovations in Intelligent Systems and Applications |
| Kongre Tarihi | 15-06-2011 / 18-06-2011 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | Istanbul, Turkey |
| Bildiri Linki | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5946171 |
| Özet |
| In this paper, the equal frequency discretization (EFD) based probability density approach was proposed to be used in the diagnosis of epilepsy from electroencephalogram (EEG) signals. For this aim, EEG signals were decomposed by using the discrete wavelet discretization (DWT) method into subbands, the coefficients in each subband were discretized to several intervals by EFD method, and the probability density of each subband of each EEG segment was computed according to the number of coefficients in discrete intervals. Then, two probability density functions were defined by means of the curve fitting over the probability densities of the sets of both healthy subjects and epilepsy patients. EEG signals were classified by applying the mean square error (MSE) criterion to these functions. The result of the classification was evaluated by using the ROC analysis, which indicated 82.50% success in the diagnosis of epilepsy. As a result, the EFD based probability density approach may be considered as an alternative way to diagnose epilepsy disease on EEG signals. © 2011 IEEE. |
| Anahtar Kelimeler |
| curve fitting | EEG signals | epilepsy | equal frequency discretization | mean square error | probability density | wavelet transform |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| SCOPUS | 19 |
| Google Scholar | 23 |