AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

FATTAHI D.; BOOSTANI R.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING Year:2012 | Volume:36 | Issue:E2 Page(s): 147-161

Download Full-Text

View:

292

Download:

177

Cites:

Information Journal Paper

Title

AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION

Author(s)

FATTAHI D. | BOOSTANI R. | Issue Writer Certificate

Keywords

BCI

EEG FEATURE EXTRACTION

SPATIO-SPECTRAL FILTERING

EEG CLASSIFICATION

Abstract

Brain Computer Interface (BCI) systems still suffer from lack of accuracy in real-time applications. This problem emerges from isolated optimization, and in some occasions from mismatching of feature extraction and classification stages. To unify optimization of both stages, this paper presents a novel scheme to integrate them and simultaneously optimize under a unit criterion. The proposed method iteratively estimates both spatio-spectral filters and classifier weights under a non-linear form of Fisher criterion. In order to validate the introduced method, two standard EEG sets, one containing 118 EEG signals and the other 29, were employed to demonstrate its spatial resolution capability. Experimental results on both datasets reveal the superiority of the proposed scheme in terms of enhancing the classification performance simultaneously with speeding up the optimization process, compared to the conventional methods.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

FATTAHI, D., & BOOSTANI, R.. (2012). AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, 36(E2), 147-161. SID. https://sid.ir/paper/634175/en

Vancouver: Copy

FATTAHI D., BOOSTANI R.. AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING[Internet]. 2012;36(E2):147-161. Available from: https://sid.ir/paper/634175/en

IEEE: Copy

D. FATTAHI, and R. BOOSTANI, “AN ITERATIVE SPATIO-SPECTRAL DISCRIMINANT SCHEME FOR EEG CLASSIFICATION,” IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY TRANSACTION B- ENGINEERING, vol. 36, no. E2, pp. 147–161, 2012, [Online]. Available: https://sid.ir/paper/634175/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops