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Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm
Joint Authors
Abdullah, Ahmed Kareem
Zhang, Chao Zhu
Lian, Siyao
Abdullah, Ali Abdul Abbas
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-17
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
An automatic artifact extraction system is proposed based on a hybridization of Stone’s BSS and genetic algorithm.
This hybridization is called evolutionary Stone’s BSS algorithm (ESBSS).
Original Stone’s BSS used short- and long-term half-life parameters as constant values, and the changes in these parameters will be affecting directly the separated signals; also there is no way to determine the best parameters.
The genetic algorithm is a suitable technique to overcome this problem by finding randomly the optimum half-life parameters in Stone’s BSS.
The proposed system is used to extract automatically the common artifacts such as ocular and heart beat artifacts from EEG mixtures without prejudice to the data; also there is no notch filter used in the proposed system in order not to lose any useful information.
American Psychological Association (APA)
Abdullah, Ahmed Kareem& Zhang, Chao Zhu& Abdullah, Ali Abdul Abbas& Lian, Siyao. 2014. Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-25.
https://search.emarefa.net/detail/BIM-463572
Modern Language Association (MLA)
Abdullah, Ahmed Kareem…[et al.]. Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-25.
https://search.emarefa.net/detail/BIM-463572
American Medical Association (AMA)
Abdullah, Ahmed Kareem& Zhang, Chao Zhu& Abdullah, Ali Abdul Abbas& Lian, Siyao. Automatic Extraction System for Common Artifacts in EEG Signals Based on Evolutionary Stone’s BSS Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-25.
https://search.emarefa.net/detail/BIM-463572
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463572