Sensors, Vol. 18, Pages 4107: Compressibility of High-Density EEG Signals in Stroke Patients
Sensors, Vol. 18, Pages 4107: Compressibility of High-Density EEG Signals in Stroke Patients
Sensors doi: 10.3390/s18124107
Authors:
Nadia Mammone
Simona De Salvo
Cosimo Ieracitano
Silvia Marino
Emanuele Cartella
Alessia Bramanti
Roberto Giorgianni
Francesco C. Morabito
Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate possible asymmetries in the activity of the two hemispheres, in the case one of them is affected by a lesion due to stroke. In particular, the compressibility of High-Density-EEG (HD-EEG) recorded at the two hemispheres was investigated since the presence of the lesion is expected to impact on the regularity of EEG signals. The secondary objective was to evaluate if standard low density EEG is able to provide such information. Eighteen patients with unilateral stroke were recruited and underwent HD-EEG recording. Each EEG signal was compressively sensed, using Block Sparse Bayesian Learning, ...
Source: Sensors - Category: Biotechnology Authors: Nadia Mammone Simona De Salvo Cosimo Ieracitano Silvia Marino Emanuele Cartella Alessia Bramanti Roberto Giorgianni Francesco C. Morabito Tags: Article Source Type: research
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