![](/images/graphics-bg.png)
Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function
Joint Authors
Rahman, Md. Mostafizur
Fattah, Shaikh Anowarul
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In view of recent increase of brain computer interface (BCI) based applications, the importance of efficient classification of various mental tasks has increased prodigiously nowadays.
In order to obtain effective classification, efficient feature extraction scheme is necessary, for which, in the proposed method, the interchannel relationship among electroencephalogram (EEG) data is utilized.
It is expected that the correlation obtained from different combination of channels will be different for different mental tasks, which can be exploited to extract distinctive feature.
The empirical mode decomposition (EMD) technique is employed on a test EEG signal obtained from a channel, which provides a number of intrinsic mode functions (IMFs), and correlation coefficient is extracted from interchannel IMF data.
Simultaneously, different statistical features are also obtained from each IMF.
Finally, the feature matrix is formed utilizing interchannel correlation features and intrachannel statistical features of the selected IMFs of EEG signal.
Different kernels of the support vector machine (SVM) classifier are used to carry out the classification task.
An EEG dataset containing ten different combinations of five different mental tasks is utilized to demonstrate the classification performance and a very high level of accuracy is achieved by the proposed scheme compared to existing methods.
American Psychological Association (APA)
Rahman, Md. Mostafizur& Fattah, Shaikh Anowarul. 2017. Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function. BioMed Research International،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1136296
Modern Language Association (MLA)
Rahman, Md. Mostafizur& Fattah, Shaikh Anowarul. Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function. BioMed Research International No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1136296
American Medical Association (AMA)
Rahman, Md. Mostafizur& Fattah, Shaikh Anowarul. Mental Task Classification Scheme Utilizing Correlation Coefficient Extracted from Interchannel Intrinsic Mode Function. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1136296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136296