Carregant...
Carregant...

Vés al contingut (premeu Retorn)

Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signals

Autor
Migliorelli, C.; Alonso, J.F.; Romero, S.; Mañanas, M.A.; Nowak, R.; Russi, A.
Tipus d'activitat
Article en revista
Revista
Journal of neural engineering
Data de publicació
2015-05-27
Volum
12
Pàgina inicial
046001-1
Pàgina final
046001-12
DOI
https://doi.org/10.1088/1741-2560/12/4/046001 Obrir en finestra nova
Projecte finançador
Diseño de métodos para la evaluación de procesos de deterioro neurológico y neuromuscular asociados al envejecimiento (ref. DPI2014-59049-R)
Sistemas multicanal de análisis y sensorización no invasiva para la rehabilitación y monitorización clínica
Repositori
http://hdl.handle.net/2117/28562 Obrir en finestra nova
URL
http://iopscience.iop.org/1741-2552/12/4/046001/pdf/1741-2552_12_4_046001.pdf Obrir en finestra nova
Resum
Objective. One of the principal drawbacks of magnetoencephalography (MEG) is its high sensitivity to metallic artifacts, which come from implanted intracranial electrodes and dental ferromagnetic prosthesis and produce a high distortion that masks cerebral activity. The aim of this study was to develop an automatic algorithm based on blind source separation (BSS) techniques to remove metallic artifacts from MEG signals. Approach. Three methods were evaluated: AMUSE, a second-order technique; and...
Citació
Migliorelli, C. [et al.]. Automatic BSS-based filtering of metallic interference in MEG recordings: definition and validation using simulated signals. "Journal of neural engineering", 27 Maig 2015, vol. 12, p. 046001-1-046001-12.
Paraules clau
Functional Magnetic Resonance Imaging, Signal Processing, Neural Imaging, Interference, Eyes, Magnetic Fields, Electroencephalography, Brain
Grup de recerca
BIOART - Anàlisi de Biosenyals per a la Rehabilitació i la Teràpia
CREB - Centre de Recerca en Enginyeria Biomedica

Participants

Arxius