DocumentCode
2608005
Title
Estimation of magnetoencephalography focal sources using ECoG signals characteristics driven approach (ESCDA)
Author
Luan, Feng ; Lee, Chany ; Choi, Jong-Ho ; Jung, Hyun-Kyo
Author_Institution
Sch. of Electr. Eng. & Comput. Sci., Seoul Nat. Univ., Seoul, South Korea
fYear
2010
fDate
9-12 May 2010
Firstpage
1
Lastpage
1
Abstract
This paper proposes a new approach named electrocorticographic (ECoG) signals characteristics driven approach (ESCDA) to precisely estimate focal sources. The ESCDA is driven by the unique spatio-temporal-spectral characteristics of brain activity provided by ECoG signals. From feasibility studies, it is concluded that the ESCDA is a reasonable and robust technique to enhance the performance of focal sources estimation.
Keywords
magnetoencephalography; neurophysiology; signal sources; ECoG signals characteristics driven approach; brain activity; magnetoencephalography focal sources; spatio-temporal-spectral characteristics; Brain mapping; Cerebral cortex; Computer science; Electroencephalography; Electromagnetic measurements; Electromyography; Frequency; Humans; Magnetoencephalography; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location
Chicago, IL
Print_ISBN
978-1-4244-7059-4
Type
conf
DOI
10.1109/CEFC.2010.5481342
Filename
5481342
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