EEG Fractal Analysis Reflects Brain Impairment after Stroke

Stroke is the commonest cause of disability. Novel treatments require an improved understanding of the underlying mechanisms of recovery. Fractal approaches have demonstrated that a single metric can describe the complexity of seemingly random fluctuations of physiological signals. We hypothesize th...

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Vydané v:	Entropy (Basel, Switzerland) Ročník 23; číslo 5; s. 592
Hlavní autori:	Rubega, Maria, Formaggio, Emanuela, Molteni, Franco, Guanziroli, Eleonora, Di Marco, Roberto, Baracchini, Claudio, Ermani, Mario, Ward, Nick S., Masiero, Stefano, Del Felice, Alessandra
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 11.05.2021 MDPI
Predmet:	Algorithms Biomarkers Brain Brain research Complexity Datasets EEG Electroencephalography Fractal analysis Fractals Hypoglycemia Impairment neurophysiology neuroplasticity Orthopedics Rehabilitation Standard deviation Stroke Tortuosity
ISSN:	1099-4300, 1099-4300
On-line prístup:	Získať plný text
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