Experiments on Synchronous Nonlinear Features for 2-Class NIRS-Based Motor Imagery Problem
作者： Tuan Hoang , Dat Tran , Khoa Truong , Phuoc Nguyen , Toi Vo Van
DOI: 10.1007/978-3-642-32183-2_3
关键词:
摘要: This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those including phase synchronizations and interdependences are well known widely applied on neural-related problems such as epilepsy prediction. However, only a few publications related NIRS-based BCI systems. We conducted experiments NIRS technique analyze how useful those can be Results show that while produce quite good recall precision ratios, not for classification because accuracy is low random guessing.
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