fNIRS based dual movement control command generation using prefrontal brain activity

In this paper we have classified two movement intensions (left and right) using mental arithmetic and mental counting for development of brain-computer interface (BCI). Mental arithmetic task was associated to left movement intension and right movement intension was acquired using mental counting. The brain signals of four healthy subjects were acquired using functional near-infrared spectroscopy (fNIRS). Here we found the difference between mental counting and mental arithmetic significant enough to be associated to movement intensions. linear descriminant analysis was used to classify the concentrated changes in oxygenated and deoxygenated hemoglobin changes using online analysis. The results indicate that highest classification accuracy of 79 % was achieved for left vs. right trials, showing that the suggested method can be used for the discrimination of movement commands using fNIRS for BCI and we purpose this method the patients having problem in visualizing motor imageries.