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 :
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