Abstract
This paper aims to experiment several synchronous nonlinear features in the well-known 2-class motor imagery problem in Brain Computer Interface (BCI) systems using Near Infrared Spectroscopy (NIRS) technique. Those features including phase synchronizations and nonlinear interdependences are well known and widely applied on several neural-related problems such as epilepsy prediction. However, only a few publications are related to NIRS-based BCI systems. We conducted several experiments using NIRS technique to analyze how useful those synchronous nonlinear features can be applied on NIRS-based BCI systems. Results show that while the nonlinear interdependences can produce quite good recall and precision ratios, the phase synchronizations are not good for classification because the accuracy is as low as that in random guessing.
Original language | English |
---|---|
Title of host publication | The 4th International Conference on the Development of Biomedical Engineering |
Editors | Vo Van Toi, Nguyen Bao Toan, Troung Quang Dang Khoa, Tran Ha Lien Phoung |
Place of Publication | Vietnam |
Publisher | Springer |
Pages | 8-12 |
Number of pages | 5 |
Volume | 1 |
ISBN (Print) | 9783642321825 |
DOIs | |
Publication status | Published - 2012 |
Event | 4th International Conference on Development of Biomedical Engineering - Ho Chi Minh, Ho Chi Minh, Viet Nam Duration: 1 Aug 2012 → … |
Conference
Conference | 4th International Conference on Development of Biomedical Engineering |
---|---|
Abbreviated title | IFMBE 2012 |
Country/Territory | Viet Nam |
City | Ho Chi Minh |
Period | 1/08/12 → … |