In this review, the chaotic nature of brain signals and the relevance of their analysis are reviewed. The basic concept of chaos, historical evolution of chaos

2024年10月4日 · In this study, we investigated clinical anesthesia-induced changes in complex brain dynamics from the perspective of chaotic properties by calculating the Lyapunov …

2023年1月1日 · We study the EEG dynamics of different sleep stages by introducing two new features based on phase space properties and identify unique chaotic attractors for each sleep …

With an application of the Schwarzian derivative of von Bertalanffy’s models, integration and segregation of phases of EEG oscillations spread through different regions can be explained …

2023年5月17日 · KolmEn has revealed that the EEG patterns in the supplementary motor, premotor, and motor areas of the brain are synchronized in a nonlinear chaotic manner, and …

2024年4月1日 · We uncover chaotic patterns in pre-seizure and seizure EEG signals, pre-processed via wavelet decomposition. Empirical analysis shows our architecture exceeds …

Seeking effective measures to characterize the chaotic patterns of EEG signals for seizure diagnosis is a long-term endeavor in the literature. We propose to co

2018年7月1日 · Our analysis clearly showed significant lower values for chaotic parameters, correlation dimension, and largest Lyapunov exponent for EEG in patients with metabolic …

The solutions to this high-dimensional system of ODEs suffice to simulate the chaotic patterns of the EEG, including the normal low-level background activity, the high-level relatively coherent …

2021年6月4日 · The application of chaos measures the association of EEG signals which allows for differentiating pre and post-medicated epochs for bipolar patients. We propose a new …