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...

Full description

Saved in:

Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 23; no. 5; p. 592
Main Authors:	Rubega, Maria, Formaggio, Emanuela, Molteni, Franco, Guanziroli, Eleonora, Di Marco, Roberto, Baracchini, Claudio, Ermani, Mario, Ward, Nick S., Masiero, Stefano, Del Felice, Alessandra
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 11.05.2021 MDPI
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!