Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Abibullaev, Berdakh | - |
dc.contributor.author | An, Jinung | - |
dc.contributor.author | Moon, Jeon-Il | - |
dc.date.available | 2017-05-11T02:02:36Z | - |
dc.date.created | 2017-04-10 | - |
dc.date.issued | 2011 | - |
dc.identifier.issn | 1559-9612 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/1708 | - |
dc.description.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. | - |
dc.publisher | Taylor and Francis Inc. | - |
dc.title | NEURAL NETWORK CLASSIFICATION OF BRAIN HEMODYNAMIC RESPONSES FROM FOUR MENTAL TASKS | - |
dc.type | Article | - |
dc.identifier.doi | 10.1080/15599612.2011.633209 | - |
dc.identifier.wosid | 000299955700003 | - |
dc.identifier.scopusid | 2-s2.0-84859362348 | - |
dc.identifier.bibliographicCitation | International Journal of Optomechatronics, v.5, no.4, pp.340 - 359 | - |
dc.subject.keywordAuthor | brain-computer interface | - |
dc.subject.keywordAuthor | functional near infrared spectroscopy | - |
dc.subject.keywordAuthor | mental task classification | - |
dc.subject.keywordAuthor | neural networks | - |
dc.subject.keywordAuthor | wavelet transforms | - |
dc.subject.keywordPlus | ACTIVATION | - |
dc.subject.keywordPlus | Brain | - |
dc.subject.keywordPlus | Brain-Computer Interface | - |
dc.subject.keywordPlus | Brain Study | - |
dc.subject.keywordPlus | CEREBRAL HemODYNAMICS | - |
dc.subject.keywordPlus | Classification Rates | - |
dc.subject.keywordPlus | COMPUTER INTERFACE | - |
dc.subject.keywordPlus | Functional Near Infrared Spectroscopy | - |
dc.subject.keywordPlus | Hemodynamic Activities | - |
dc.subject.keywordPlus | Hemodynamic Response | - |
dc.subject.keywordPlus | Hemodynamics | - |
dc.subject.keywordPlus | HUMAN BRAIN | - |
dc.subject.keywordPlus | Mental Task Classification | - |
dc.subject.keywordPlus | Mental Tasks | - |
dc.subject.keywordPlus | NEAR-INFRARED SPECTROSCOPY | - |
dc.subject.keywordPlus | Near Infrared Spectroscopy | - |
dc.subject.keywordPlus | Network-Based | - |
dc.subject.keywordPlus | Neural Network Classification | - |
dc.subject.keywordPlus | Neural Network Classifier | - |
dc.subject.keywordPlus | Neural Network Model | - |
dc.subject.keywordPlus | Neural Networks | - |
dc.subject.keywordPlus | OSCILLATIONS | - |
dc.subject.keywordPlus | SIGNALS | - |
dc.subject.keywordPlus | Single Layer | - |
dc.subject.keywordPlus | Wavelet Transforms | - |
dc.citation.endPage | 359 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 340 | - |
dc.citation.title | International Journal of Optomechatronics | - |
dc.citation.volume | 5 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering; Optics | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic; Engineering, Mechanical; Optics | - |
dc.type.docType | Article | - |
There are no files associated with this item.