According to the approximate dimension calculations no parallelity between the chaotic dimension and the fractal dimension is found.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study whether fractal dimension analysis parameter can be used for the analysis and the comparison of the real EEG signals and EEG signals obtained from Lopes da Silva brain model instead of chaotic dimension is investigated.
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Key Findings & Data:In this study whether fractal dimension analysis parameter can be used for the analysis and the comparison of the real EEG signals and EEG signals obtained from Lopes da Silva brain model instead of chaotic dimension is investigated.
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Conclusion & Impact:According to the approximate dimension calculations no parallelity between the chaotic dimension and the fractal dimension is found.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study whether fractal dimension analysis parameter can be used for the analysis and the comparison of the real EEG signals and EEG signals obtained from Lopes da Silva brain model instead of chaotic dimension is investigated. According to the approximate dimension calculations no parallelity between the chaotic dimension and the fractal dimension is found.
Özet
Bu çalışmada, gerçek EEG sinyallerinin ve Lopes da Silva beyin modeli ile elde edilen EEG sinyallerinin analizinde ve bu iki sinyalin karşılaştırılmasında, kaotik (korelasyon) boyutun yerine fraktal boyutun analiz parametresi olarak alınıp alınamayacağı araştırılmıştır. Yapılan yaklaşık boyut hesaplarına göre, kaotik boyut ile fraktal boyut arasında değişim yönünde bir paralelliğin olmadığı belirlenmiştir.
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Cite This Article
ÇETİN, N. (2022). Comparison of fractal dimensions and chaotic dimensions of EEG signals. Anadolu Üniversitesi Fen Fakültesi Dergisi, Cilt: 0 - Sayı: 5, 125–128. https://ajindex.com/articles/438647
References (3)
Çetin, N., EEG' de Kaotik Boyut, Doktora Tezi, Osmangazi Üniversitesi Fen Bilimleri Enstitüsü, (1994)