This work investigates the relation between EEG complexity measures, in particular Fractal Dimension and Sample Entropy, and sleep structure, in terms of both macrostructure, i.e. sleep stages, and microstructure, i.e. phase A activation of CAP sleep. Activation phases are compared with the non-activation periods of non- REM sleep. The study suggests that complexity features can serve as consistent descriptors of sleep dynamics and can potentially assist in the classification of sleep stages
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
Although brain activity consists of a large degree of parallel computing, consciousness needs an int...
This work investigates the relation between EEG complexity measures, in particular Fractal Dimension...
This work investigates the relation between the complexity of electroencephalography (EEG) signal, a...
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assesse...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
Sleep electroencephalography (EEG) provides an opportunity to study sleep scientifically, whose chao...
This work aims to investigate new markers for the quantitative characterization of insomnia, in the ...
This work aims to investigate new markers for the quantitative characterization of insomnia, in the ...
Aim of this preliminary study was to examine and compare topographic distribution of Higuchi's fract...
Aim of this preliminary study was to examine and compare topographic distribution of Higuchi's fract...
A number of measures, stemming from nonlinear dynamics, exist to estimate complexity of biomedical o...
This study analyzes the nonlinear properties of the EEG at transition points of the sequences that b...
This study analyzes the nonlinear properties of the EEG at transition points of the sequences that b...
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
Although brain activity consists of a large degree of parallel computing, consciousness needs an int...
This work investigates the relation between EEG complexity measures, in particular Fractal Dimension...
This work investigates the relation between the complexity of electroencephalography (EEG) signal, a...
Conventional sleep analysis relies primarily on electroencephalogram (EEG) waveform features assesse...
Objective: The relevance of the dimensional complexity (DC) for the analysis of sleep EEG data is in...
Sleep electroencephalography (EEG) provides an opportunity to study sleep scientifically, whose chao...
This work aims to investigate new markers for the quantitative characterization of insomnia, in the ...
This work aims to investigate new markers for the quantitative characterization of insomnia, in the ...
Aim of this preliminary study was to examine and compare topographic distribution of Higuchi's fract...
Aim of this preliminary study was to examine and compare topographic distribution of Higuchi's fract...
A number of measures, stemming from nonlinear dynamics, exist to estimate complexity of biomedical o...
This study analyzes the nonlinear properties of the EEG at transition points of the sequences that b...
This study analyzes the nonlinear properties of the EEG at transition points of the sequences that b...
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
This work aims to propose new methodologies for the quantitative characterization of insomnia. Sleep...
Although brain activity consists of a large degree of parallel computing, consciousness needs an int...