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Nonlinear EEG Decoding Based on a Particle Filter Model
Joint Authors
Wang, Baozeng
Wang, Jing
Zhang, Jinhua
Wei, Jiongjian
Hong, Jun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-15
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
While the world is stepping into the aging society, rehabilitation robots play a more and more important role in terms of both rehabilitation treatment and nursing of the patients with neurological diseases.
Benefiting from the abundant contents of movement information, electroencephalography (EEG) has become a promising information source for rehabilitation robots control.
Although the multiple linear regression model was used as the decoding model of EEG signals in some researches, it has been considered that it cannot reflect the nonlinear components of EEG signals.
In order to overcome this shortcoming, we propose a nonlinear decoding model, the particle filter model.
Two- and three-dimensional decoding experiments were performed to test the validity of this model.
In decoding accuracy, the results are comparable to those of the multiple linear regression model and previous EEG studies.
In addition, the particle filter model uses less training data and more frequency information than the multiple linear regression model, which shows the potential of nonlinear decoding models.
Overall, the findings hold promise for the furtherance of EEG-based rehabilitation robots.
American Psychological Association (APA)
Zhang, Jinhua& Wei, Jiongjian& Wang, Baozeng& Hong, Jun& Wang, Jing. 2014. Nonlinear EEG Decoding Based on a Particle Filter Model. BioMed Research International،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-450579
Modern Language Association (MLA)
Zhang, Jinhua…[et al.]. Nonlinear EEG Decoding Based on a Particle Filter Model. BioMed Research International No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-450579
American Medical Association (AMA)
Zhang, Jinhua& Wei, Jiongjian& Wang, Baozeng& Hong, Jun& Wang, Jing. Nonlinear EEG Decoding Based on a Particle Filter Model. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-450579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-450579