DocumentCode
612458
Title
Automatic identification of diffuse and localized activity for topographical distribution of EEG rhythm based on suitable reference selection with pre-judgments
Author
Wang, Bingdong ; Wang, Xiongfei ; Ikeda, Akihiro ; Nagamine, T. ; Shibasaki, Hiroki ; Nakamura, Mitsutoshi
Author_Institution
Key Lab. of Adv. Control & Optimization for Chem. Processes, East China Univ. of Sci. & Technol., Shanghai, China
fYear
2013
fDate
25-28 May 2013
Firstpage
662
Lastpage
665
Abstract
An automatic reference selection method with prejudgments was developed in order to identify the two patterns of diffuse and localized EEG activity, as well as the topographical distribution. The diffuse activity is identified and the effect of adopted reference is analyzed by using two pre-judgments. The localized activity is analyzed where the focal and distributed electrodes are derived based on an iterative detection method. Finally, the suitable reference is determined which is adaptive to the actual characteristics of diffuse and localized activity. Additionally, the topographical distribution is obtained automatically during the reference selection process. The presented method has the performance to be an assistant and subjective tool for clinical application, especially for the quantitative interpretation on EEG rhythm.
Keywords
biomedical electrodes; electroencephalography; iterative methods; medical signal detection; EEG rhythm; automatic identification; diffuse activity; distributed electrodes; focal electrodes; iterative detection method; localized activity; prejudgments; suitable reference selection; topographical distribution; Ear; Educational institutions; Electric potential; Electrodes; Electroencephalography; Equations; Rhythm; Automatic Identification; Diffuse and localized activity; Pre-judgments; Reference selection; Topographical distribution of EEG rhythm;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2970-5
Type
conf
DOI
10.1109/ICCME.2013.6548332
Filename
6548332
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