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
Link To Document :
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