DocumentCode :
3112923
Title :
Muscle and eye movement artifact removal prior to EEG source localization
Author :
Hallez, Hans ; Vergult, Anneleen ; Phlypo, Ronald ; Hese, Peter Van ; Clercq, Wim De ; Asseler, Yves D. ; De Walle, Rik Van ; Vanrumste, Bart ; Paesschen, Wim Van ; Huffel, Sabine Van ; Lemahieu, Ignace
Author_Institution :
Dept. of Electron. & Inf. Syst., Ghent Univ.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
1002
Lastpage :
1005
Abstract :
Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization. We used a total of 8 EEG fragments, each from another patient, first unfiltered, then filtered by the BSS-CCA and pSVD. In both the filtered and unfiltered EEG fragments we estimated multiple dipoles using RAP-MUSIC. The resulting dipoles were subjected to a K-means clustering algorithm, to extract the most prominent cluster. We found that the removal of muscle and eye artifact results to tighter and more clear dipole clusters. Furthermore, we found that localization of the filtered EEG corresponded with the localization derived from the ictal SPECT in 7 of the 8 patients. Therefore, we can conclude that the BSS-CCA and pSVD improve localization of ictal activity, thus making the localization more reliable for the presurgical evaluation of the patient
Keywords :
biomechanics; electroencephalography; eye; filtering theory; medical signal processing; muscle; neurophysiology; pattern clustering; EEG dipole source localization; K-means clustering algorithm; RAP-MUSIC; epilepsy; eye movement artifact removal; filtered EEG fragments; ictal SPECT; ictal activity; muscle movement artifact removal; presurgical evaluation; unfiltered EEG fragments; Autocorrelation; Brain modeling; Cities and towns; Electroencephalography; Epilepsy; Focusing; Inverse problems; Muscles; Scalp; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260451
Filename :
4461923
Link To Document :
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