DGIST Scholar: NEURAL NETWORK CLASSIFICATION OF BRAIN HEMODYNAMIC RESPONSES FROM FOUR MENTAL TASKS

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NEURAL NETWORK CLASSIFICATION OF BRAIN HEMODYNAMIC RESPONSES FROM FOUR MENTAL TASKS

Title: NEURAL NETWORK CLASSIFICATION OF BRAIN HEMODYNAMIC RESPONSES FROM FOUR MENTAL TASKS

Author(s): Abibullaev, B[Abibullaev, Berdakh] ; An, J[An, Jinung] ; Moon, JI[Moon, Jeon-Il]

DGIST Authors: Abibullaev, B[Abibullaev, Berdakh] ; An, J[An, Jinung] ; Moon, JI[Moon, Jeon-Il]

Subject: Brain ; Brain-Computer Interface (BCI) ; Brain Study ; Classification Rates ; Functional Near-Infrared Spectroscopy (FNIRS) ; Hemodynamic Activities ; Hemodynamic Response ; Hemodynamics ; Human Brain ; Mental Task Classification ; Mental Tasks ; Near-Infrared Spectroscopy ; Network-Based ; Neural Network Classification ; Neural Network Classifier ; Neural Network Model ; Neural Networks ; Single Layer ; Wavelet Transforms

Abstract: We investigate subjects' brain hemodynamic activities during mental tasks using a nearinfrared spectroscopy. A wavelet and neural network-based methodology is presented for recognition of brain hemodynamic responses. The recognition is performed by a single layer neural network classifier according to a backpropagation algorithm with two error minimizing techniques. The performance of the classifier varied depending on the neural network model, but the performance was usually at least 90%. The classifier usually converged faster and attained a somewhat greater level of performance when an input was presented with only relevant features. The overall classification rate was higher than 94%. The study demonstrates the accurate classifiablity of human brain hemodynamic useful in various brain studies. © 2011 Copyright DGIST.