| Optimal design of a bank of spatio-temporal filters for EEG signal classification. | |
| | |
MedLine Citation:
|
PMID: 22255731 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
The spatial weights for electrodes called common spatial pattern (CSP) are known to be effective in EEG signal classification for motor imagery based brain computer interfaces (MI-BCI). To achieve accurate classification in CSP, the frequency filter should be properly designed. To this end, several methods for designing the filter have been proposed. However, the existing methods cannot consider plural brain activities described with different frequency bands and different spatial patterns such as activities of mu and beta rhythms. In order to efficiently extract these brain activities, we propose a method to design plural filters and spatial weights which extract desired brain activity. The proposed method designs finite impulse response (FIR) filters and the associated spatial weights by optimization of an objective function which is a natural extension of CSP. Moreover, we show by a classification experiment that the bank of FIR filters which are designed by introducing an orthogonality into the objective function can extract good discriminative features. Moreover, the experiment result suggests that the proposed method can automatically detect and extract brain activities related to motor imagery. |
| | |
Authors:
|
Hiroshi Higashi; Toshihisa Tanaka |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2011 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2011 Aug |
Date Detail:
|
Created Date: 2012-01-18 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
|
Languages: eng Pagination: 6100-3 Citation Subset: IM |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: EpiScan: Online seizure detection for epilepsy monitoring units.
Next Document: Brain tumor detection using scalp eeg with modified Wavelet-ICA and multi layer feed forward neural ...