DocumentCode
140245
Title
Validating the effect of muscle artifact suppression in localizing focal epilepsy
Author
Mideksa, K.G. ; Santillan-Guzman, A. ; Japaridze, N. ; Galka, A. ; Stephani, U. ; Deuschl, Guunther ; Heute, Ulrich ; Muthuraman, Muthuraman
Author_Institution
Inst. for Digital Signal Process. & Syst. Theor., Christian-Albrechts-Univ. of Kiel, Kiel, Germany
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
3841
Lastpage
3844
Abstract
Source localization of an epileptic seizure is becoming an important diagnostic tool in pre-surgical evaluation of epileptic patients. However, for localizing the epileptogenic zone precisely, the epileptic activity needs to be isolated from other activities that are not related to the epileptic source. In this study, we aim at an investigation of the effect of muscle artifact suppression by using a low-pass filter (LPF), independent component analysis (ICA), and a combination of ICA-LPF prior to source localization in focal epilepsy. These techniques were applied on the EEG data obtained from a left-temporal lobe epileptic patient by artificially contaminating the isolated spike interval, present in the four left-temporal electrodes, with a muscle artifact. The results show that the muscle artifact was fully suppressed. Applying the dipole and current-density reconstruction (CDR) source-analysis algorithms on the filtered data, we were able to identify the location of the epileptogenic zone similar to that of the original undistorted data.
Keywords
bioelectric potentials; biomedical electrodes; current density; electroencephalography; independent component analysis; low-pass filters; medical disorders; medical signal processing; muscle; neurophysiology; signal reconstruction; CDR source-analysis algorithms; EEG data; ICA-LPF prior-to-source localization; current-density reconstruction; dipole source-analysis algorithms; epileptogenic zone; focal epilepsy localization; independent component analysis; isolated spike interval; left-temporal electrodes; left-temporal lobe epileptic patient; low-pass filter; muscle artifact suppression effect; Brain modeling; Electrodes; Electroencephalography; Epilepsy; Multiple signal classification; Muscles; Scalp;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6944461
Filename
6944461
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