A STUDY ON THE PERFORMANCE OF CLASSIFIERS AND EXTRACTED FEATURES IN DISCRIMINATING EEG PATTERNS OF MENTAL ACTIVITIES RELATED TO FOUR MAIN DIRECTIONS

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.

BAGHERI MAHSA; POURMOHAMMAD ALI; IMANI EHSAN

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

Journal Paper

Paper Information

Journal: ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ) Year:2016 | Volume:18 | Issue:12 (105) Page(s): 11-23

Download Full-Text

Persian Verion

View:

946

Download:

Cites:

Information Journal Paper

Title

A STUDY ON THE PERFORMANCE OF CLASSIFIERS AND EXTRACTED FEATURES IN DISCRIMINATING EEG PATTERNS OF MENTAL ACTIVITIES RELATED TO FOUR MAIN DIRECTIONS

Author(s)

BAGHERI MAHSA | POURMOHAMMAD ALI | IMANI EHSAN | Issue Writer Certificate

Keywords

BRAIN- COMPUTER INTERFACES (BCI)Q2

ELECTROENCEPHALOGRAPH (EEG)Q2

INDEPENDENT COMPONENT ANALYSIS (ICA)Q2

LINEAR DISCRIMINANT ANALYSIS (LDA)Q2

NEURAL NETWORKQ2

Abstract

Background: The purpose of this research is to design a Brain- Computer Interface to discriminate the brain signals while the brain images four main directions. To be innovative, the subjects have imaged the aimed directions by power of imagination, and for the first time, the ICA algorithm has been used to detect the aimed signal and to eliminate the artifacts.Materials and Methods: In this descriptive-ana alytic study, signals are recorded by using a Micromed device and a 19-channel helmet in unipolar mode. The statistical population included three persons in the age range of 25 to 30 and the designed task consisted of 24 slides of four main directions.Results: Simulations have shown that the best classification accuracy was the outcome of the 2.5-second time windowing and the best choice for extracting features was the AR coefficients of 15 order. There was no significant difference between the classification accuracy of different implementation of the Artificial NEURAL NETWORK classifier with different number of layers and neurons and different classification functions. In comparison with the NEURAL NETWORK, the Linear Discriminant Analysis (LDA) showed better classification accuracies.Conclusion: The results of this research are in accordance with the results of the methods such as FMRI and methods based on the brain signals in vowel imagination. In this research, the best classification accuracy was obtained from the Linear Discriminant Analysis classifier by extracting the target signal from the output of the ICA algorithm and extracting the AR coefficients as feature and the 2.5-second time windowing. The Linear Discriminant Analysis classifier result the best classification accuracies.

Cites

No record.

References

No record.

Cite

APA: Copy

BAGHERI, MAHSA, POURMOHAMMAD, ALI, & IMANI, EHSAN. (2016). A STUDY ON THE PERFORMANCE OF CLASSIFIERS AND EXTRACTED FEATURES IN DISCRIMINATING EEG PATTERNS OF MENTAL ACTIVITIES RELATED TO FOUR MAIN DIRECTIONS. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), 18(12 (105)), 11-23. SID. https://sid.ir/paper/69860/en

Vancouver: Copy

BAGHERI MAHSA, POURMOHAMMAD ALI, IMANI EHSAN. A STUDY ON THE PERFORMANCE OF CLASSIFIERS AND EXTRACTED FEATURES IN DISCRIMINATING EEG PATTERNS OF MENTAL ACTIVITIES RELATED TO FOUR MAIN DIRECTIONS. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ)[Internet]. 2016;18(12 (105)):11-23. Available from: https://sid.ir/paper/69860/en

IEEE: Copy

MAHSA BAGHERI, ALI POURMOHAMMAD, and EHSAN IMANI, “A STUDY ON THE PERFORMANCE OF CLASSIFIERS AND EXTRACTED FEATURES IN DISCRIMINATING EEG PATTERNS OF MENTAL ACTIVITIES RELATED TO FOUR MAIN DIRECTIONS,” ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), vol. 18, no. 12 (105), pp. 11–23, 2016, [Online]. Available: https://sid.ir/paper/69860/en

Related Journal Papers