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Proceedings Paper

The investigation of brain-computer interface for motor imagery and execution using functional near-infrared spectroscopy
Author(s): Zhen Zhang; Xuejun Jiao; Fengang Xu; Jin Jiang; Hanjun Yang; Yong Cao; Jiahao Fu
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Paper Abstract

Functional near-infrared spectroscopy (fNIRS), which can measure cortex hemoglobin activity, has been widely adopted in brain-computer interface (BCI). To explore the feasibility of recognizing motor imagery (MI) and motor execution (ME) in the same motion. We measured changes of oxygenated hemoglobin (HBO) and deoxygenated hemoglobin (HBR) on PFC and Motor Cortex (MC) when 15 subjects performing hand extension and finger tapping tasks. The mean, slope, quadratic coefficient and approximate entropy features were extracted from HBO as the input of support vector machine (SVM). For the four-class fNIRS-BCI classifiers, we realized 87.65% and 87.58% classification accuracy corresponding to hand extension and finger tapping tasks. In conclusion, it is effective for fNIRS-BCI to recognize MI and ME in the same motion.

Paper Details

Date Published: 5 January 2017
PDF: 6 pages
Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 102450I (5 January 2017); doi: 10.1117/12.2267793
Show Author Affiliations
Zhen Zhang, China Astronaut Research and Training Ctr. (China)
Xuejun Jiao, China Astronaut Research and Training Ctr. (China)
Fengang Xu, China Astronaut Research and Training Ctr. (China)
Jin Jiang, China Astronaut Research and Training Ctr. (China)
Hanjun Yang, China Astronaut Research and Training Ctr. (China)
Yong Cao, China Astronaut Research and Training Ctr. (China)
Jiahao Fu, China Astronaut Research and Training Ctr. (China)


Published in SPIE Proceedings Vol. 10245:
International Conference on Innovative Optical Health Science
Xingde Li; Qingming Luo, Editor(s)

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