DocumentCode
3292042
Title
Recognition of hemodynamic responses for mental arithmetic using support vector machine
Author
Xuxian Yin ; Baolei Xu ; Zhidong Wang ; Hongyi Li ; Gang Shi
Author_Institution
State Key Lab. of Robot., Shenyang Inst. of Autom. (SIA), Shenyang, China
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
1024
Lastpage
1029
Abstract
Functional near infrared spectroscopy (fNERS) is a non-invasive technology that can be applied in brain-computer interface (BCI). fNIRS uses light in the range of near infrared to measure activity of the cerebral cortex. Prefrontal cortex is activated when performing mental arithmetic tasks. We captured frontal hemodynamic responses during mental arithmetic task from two subjects. Two different brain activities, rest and active, are recognized using Support Vector Machine (SVM). Task onset delay can be reduced by selecting appropriate feature set.
Keywords
brain; brain-computer interfaces; electroencephalography; medical signal processing; pattern recognition; signal classification; support vector machines; BCI; SVM; brain active activity; brain rest activity; brain-computer interface; cerebral cortex; fNERS; functional near infrared spectroscopy; hemodynamic response recognition; mental arithmetic; noninvasive technology; prefrontal cortex; support vector machine; Accuracy; Brain; Delays; Electroencephalography; Hemodynamics; Robots; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/ROBIO.2013.6739598
Filename
6739598
Link To Document