5 January 2017 The investigation of brain-computer interface for motor imagery and execution using functional near-infrared spectroscopy
Author Affiliations +
Proceedings Volume 10245, International Conference on Innovative Optical Health Science; 102450I (2017) https://doi.org/10.1117/12.2267793
Event: International Conference on Innovative Optical Health Science, 2016, Shanghai Everbright International Hotel, China
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Zhang, Xuejun Jiao, Fengang Xu, Jin Jiang, Hanjun Yang, Yong Cao, Jiahao Fu, "The investigation of brain-computer interface for motor imagery and execution using functional near-infrared spectroscopy", Proc. SPIE 10245, International Conference on Innovative Optical Health Science, 102450I (5 January 2017); doi: 10.1117/12.2267793; https://doi.org/10.1117/12.2267793
PROCEEDINGS
6 PAGES


SHARE
Back to Top