Yıl 2018, Cilt 6, Sayı 2, Sayfalar 31 - 36 2018-04-29

Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study

Server Göksel ERALDEMİR [1] , MUSTAFA TURAN ARSLAN [2] , ESEN YILDIRIM [3]

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In this study, the effects of feature selection on classification of the electrical signals generated in the brain during numerical and verbal operations are investigated. 18 healthy university/college students were chosen for the experimental study. EEG signals were recorded during silent reading and mental arithmetic operations without using any pen and paper. A total of 60 slides, 30 of which contained reading passages and the rest contained arithmetic operations, were presented in the experiment.  EEG signals recorded from 26 channels during the slide show. The recorded EEG signals were analyzed by Hilbert Huang Transform (HHT), and then features were extracted. 312 features were classified by Bayesian Network algorithm without applying feature selection with 92.60% average accuracy. Consistency measures and Correlation based Feature Selection methods were, then, used for feature selection and the numbers of selected features are 8 and 39 on average, respectively. Classification accuracies by using these feature selection algorithms were obtained as 93.98% and 95.58%, respectively. The results showed that feature selection algorithms contribute positively to the classification performance.

Hilbert Huang Transform, Consistency Measures, Correlation based Feature Selection, EEG Classification
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Yazar: Server Göksel ERALDEMİR

Yazar: MUSTAFA TURAN ARSLAN

Yazar: ESEN YILDIRIM

Bibtex @araştırma makalesi { bajece419549, journal = {Balkan Journal of Electrical and Computer Engineering}, issn = {2147-284X}, address = {Balkan Yayın}, year = {2018}, volume = {6}, pages = {31 - 36}, doi = {10.17694/bajece.419549}, title = {Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study}, key = {cite}, author = {ERALDEMİR, Server Göksel and ARSLAN, MUSTAFA TURAN and YILDIRIM, ESEN} }
APA ERALDEMİR, S , ARSLAN, M , YILDIRIM, E . (2018). Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study. Balkan Journal of Electrical and Computer Engineering, 6 (2), 31-36. DOI: 10.17694/bajece.419549
MLA ERALDEMİR, S , ARSLAN, M , YILDIRIM, E . "Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study". Balkan Journal of Electrical and Computer Engineering 6 (2018): 31-36 <http://dergipark.gov.tr/bajece/issue/36835/419549>
Chicago ERALDEMİR, S , ARSLAN, M , YILDIRIM, E . "Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study". Balkan Journal of Electrical and Computer Engineering 6 (2018): 31-36
RIS TY - JOUR T1 - Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study AU - Server Göksel ERALDEMİR , MUSTAFA TURAN ARSLAN , ESEN YILDIRIM Y1 - 2018 PY - 2018 N1 - doi: 10.17694/bajece.419549 DO - 10.17694/bajece.419549 T2 - Balkan Journal of Electrical and Computer Engineering JF - Journal JO - JOR SP - 31 EP - 36 VL - 6 IS - 2 SN - 2147-284X- M3 - doi: 10.17694/bajece.419549 UR - http://dx.doi.org/10.17694/bajece.419549 Y2 - 2017 ER -
EndNote %0 Balkan Journal of Electrical and Computer Engineering Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study %A Server Göksel ERALDEMİR , MUSTAFA TURAN ARSLAN , ESEN YILDIRIM %T Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study %D 2018 %J Balkan Journal of Electrical and Computer Engineering %P 2147-284X- %V 6 %N 2 %R doi: 10.17694/bajece.419549 %U 10.17694/bajece.419549
ISNAD ERALDEMİR, Server Göksel , ARSLAN, MUSTAFA TURAN , YILDIRIM, ESEN . "Investigation Of Feature Selection Algorithms On A Cognitive Task Classification: A Comparison Study". Balkan Journal of Electrical and Computer Engineering 6 / 2 (Nisan 2018): 31-36. http://dx.doi.org/10.17694/bajece.419549