2015
DOI: 10.1109/iccas.2015.7364654
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Noman Naseer, Keum-Shik Hong, M. Jawad Khan, M. Raheel Bhutta

Abstract: In this paper we analyze and compare the performance of support vector machine (SVM) and artificial neural network (ANN) for classification of fNlRS signals. fNlRS signals due to mental arithmetic and mental counting are acquired from the prefrontal cortex of ten healthy subjects. After preprocessing and filtering, SVM and ANN classification is performed on the same feature set -mean and slope of the changes in concentration of oxy-hemoglobin. Although no significant difference in the average classification a…

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