Nonlinear features and hybrid optimization algorithm for automated electroencephalogram signal analysis

DOI10.1007/978-3-031-52965-8_19zbMATH Open1547.92018MaRDI QIDQ6616750

Lev A. Kazakovtsev, Elena Vaitekunene, Author name not available (Why is that?)

Publication date: 9 October 2024

zbMATH Keywords

entropyLyapunov exponentsHurst indexhybrid modelEEGhyperparameter optimizationautomatic seizure detection

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Determining Lyapunov exponents from a time series
• A practical method for calculating largest Lyapunov exponents from small data sets
• Approximate entropy as a measure of system complexity.
• Brain dynamics. Synchronization and activity patterns in pulse-coupled neural nets with delays and noise

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