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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
Authors
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]
Issue Date
2011
Citation
International Journal of Optomechatronics, 5(4), 340-359
Type
Article
Article Type
Article
Keywords
BrainBrain-Computer Interface (BCI)Brain StudyClassification RatesFunctional Near-Infrared Spectroscopy (FNIRS)Hemodynamic ActivitiesHemodynamic ResponseHemodynamicsHuman BrainMental Task ClassificationMental TasksNear-Infrared SpectroscopyNetwork-BasedNeural Network ClassificationNeural Network ClassifierNeural Network ModelNeural NetworksSingle LayerWavelet Transforms
ISSN
1559-9612
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.
URI
http://hdl.handle.net/20.500.11750/1708
DOI
10.1080/15599612.2011.633209
Publisher
Taylor and Francis Inc.
Related Researcher
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Collaborative Robots1. Journal Articles


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