According to the approximate dimension calculations no parallelity between the dimensions of the real and the artificial EEG signals is found.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:In this study, the real EEG signals are compared to the EEG signals obtained form Lopes da Silva brain model which is an important $alpha$- wave, and if there is a coherence between the model and the real signals or not is investigated.
📊
Key Findings & Data:In this study, the real EEG signals are compared to the EEG signals obtained form Lopes da Silva brain model which is an important $alpha$- wave, and if there is a coherence between the model and the real signals or not is investigated.
💡
Conclusion & Impact:According to the approximate dimension calculations no parallelity between the dimensions of the real and the artificial EEG signals is found.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study, the real EEG signals are compared to the EEG signals obtained form Lopes da Silva brain model which is an important $alpha$- wave, and if there is a coherence between the model and the real signals or not is investigated. According to the approximate dimension calculations no parallelity between the dimensions of the real and the artificial EEG signals is found.
Özet
Bu çalışmada, gerçek EEG sinyallerinin ve önemli bir $alpha$- dalgası modeli olan Lopes da Silva beyin modeli ile elde edilen EEG sinyallerinin kaotik (korelasyon) boyutları karşılaştırılmış ve model ile gerçek EEG sinyalleri arasında boyut uyumunun olup olmadığına bakılmıştır. Yapılan yaklaşık boyut hesaplarına göre gerçek EEG sinyalleri ile yapay EEG sinyallerinin boyutları arasında bir paralellik olmadığı görülmüştür.
🔖
Cite This Article
ÇETİN, N. (2022). The comparison of the chaotic dimensions the real EEG signals and the artificial EEG signals. Anadolu Üniversitesi Fen Fakültesi Dergisi, Cilt: 0 - Sayı: 5, 119–124. https://ajindex.com/articles/438646
References (4)
Lopes da Silva, F.H., Hoeks, A., Smits, A., Zettenberg, L.H., Model of Brain Rhytmic Activity, Kybernetik, 15, 27-37, (1974)
Kargı, N., Kompetitif ve Kooperatif Etkileşimle EEG Oluşumu, Doktora Tezi, Osmangazi Üniversitesi Fen Bilimleri Enstitüsü,(1994)
Takens, F., Detecting Strange Attractors in Turbulance, In: Rand DA, Young LS(eds)Dynamical Systems and Turbulance, Warwick 1980. Springer Verlag, (Lectures notes in mathematics, vol 898),366, (1081
Çetin, N., EEG' de Kaotik Boyut, Doktora Tezi, Osmangazi Üniversitesi Fen Bilimleri Enstitüsü, (1994).