Reduction of metallic interference in MEG signals using AMUSE

Author

Migliorelli, Carolina ; Romero, Susana ; Alonso, Joan F. ; Nowak, Robert ; Russi, Antonio ; Mananas, M.A.

Author_Institution

Dept. of Autom. Control, Univ. Politec. de Catalunya (UPC), Barcelona, Spain

fYear

2013

fDate

3-7 July 2013

Firstpage

5970

Lastpage

5973

Abstract

Magnetoencephalography is a technique that can noninvasively measure the brain signal. There are many advantages of using this technique rather than similar procedures such as the EEG for the evaluation of medical diseases. However, one of its main problems is its high sensitivity to sources causing metallic distortion of the signal, and the removal of this type of artifacts remains unsolved. In this study a technique for reducing metallic interference was presented. This algorithm was based on AMUSE, a second order blind source separation method, and a procedure for choosing the artifactual independent components was also presented. The results showed that the elimination of these artifacts would be possible by means of the application of this AMUSE-based interference reduction procedure.

Keywords

diseases; electromagnetic interference; magnetoencephalography; medical signal processing; AMUSE algorithm; EEG; MEG signals; brain signal; magnetoencephalography; medical diseases; metallic distortion; metallic interference reduction; second order blind source separation method; Brain; Correlation; Electroencephalography; Filtering; Integrated circuits; Interference; Magnetoencephalography; AMUSE; BSS; ICA; MEG; Metallic Artifacts;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE

Conference_Location

Osaka

ISSN

1557-170X

Type

conf

DOI

10.1109/EMBC.2013.6610912

Filename

6610912