Add to ORKGWe investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By using a modified random walk method, We demonstrate that the scale-invariance is embedded in EEG signals after a detrending procedure. Further more, we study the dynamical evolution of probability density function (PDF) of the detrended EEG signals by nonextensive statistical modeling. It displays scale-independent property, which is markedly different from the turbulent-like scale-dependent PDF evolution
Permutation entropy and order patterns in an EEG signal have been applied by several authors to stud...
We study the effective scaling behavior of high-resolution accelerometric time series recorded at th...
OBJECTIVES: Soft-computing techniques are commonly used to detect medical phenomena and to help with...
Abstract — Scaling behavior is an indicator of the lack of characteristic time scale, and the exist...
We study short-term and long-term persistence properties (related with auto-correlations) of amplitu...
Application of non-linear dynamics methods to the physiological sciences demonstrated that non-linea...
Generally, for healthy adults, the entropy of electroencephalogram (EEG) signals gradually decreases...
Cataloged from PDF version of article.This work characterizes the dynamics of sleep spindles, obser...
Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share st...
Recent research has found long-range electroencephalogram (EEG) power law correlations, indicating t...
Electroencephalogram (EEG), the measures and records of the electrical activity of the brain, exhibi...
In most mammals, the sleep-wake cycle is constituted by three behavioral states: wakefulness (W), no...
Understanding the inherent dynamics of the EEG associated to sleep-waking can provide insights into ...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
The characterisation of functional interdependencies of the autonomic nervous system (ANS) stands an...
Permutation entropy and order patterns in an EEG signal have been applied by several authors to stud...
We study the effective scaling behavior of high-resolution accelerometric time series recorded at th...
OBJECTIVES: Soft-computing techniques are commonly used to detect medical phenomena and to help with...
Abstract — Scaling behavior is an indicator of the lack of characteristic time scale, and the exist...
We study short-term and long-term persistence properties (related with auto-correlations) of amplitu...
Application of non-linear dynamics methods to the physiological sciences demonstrated that non-linea...
Generally, for healthy adults, the entropy of electroencephalogram (EEG) signals gradually decreases...
Cataloged from PDF version of article.This work characterizes the dynamics of sleep spindles, obser...
Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share st...
Recent research has found long-range electroencephalogram (EEG) power law correlations, indicating t...
Electroencephalogram (EEG), the measures and records of the electrical activity of the brain, exhibi...
In most mammals, the sleep-wake cycle is constituted by three behavioral states: wakefulness (W), no...
Understanding the inherent dynamics of the EEG associated to sleep-waking can provide insights into ...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
The characterisation of functional interdependencies of the autonomic nervous system (ANS) stands an...
Permutation entropy and order patterns in an EEG signal have been applied by several authors to stud...
We study the effective scaling behavior of high-resolution accelerometric time series recorded at th...
OBJECTIVES: Soft-computing techniques are commonly used to detect medical phenomena and to help with...