Brain Computer Interface Switch Based on Quasi-Steady-State Visual Evoked Potentials
- Resource Type
- Conference
- Authors
- Kaya, Ibrahim; Bohorquez, Jorge E.; Ozdamar, Ozcan
- Source
- 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER) Neural Engineering (NER), 2019 9th International IEEE/EMBS Conference on. :1175-1178 Mar, 2019
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Electroencephalography
Transient analysis
Visualization
Electric potential
Brain-computer interfaces
Steady-state
Signal to noise ratio
Brain-computer Interfaces (BCI)
BCI Switch
Visual Evoked Potential
Transient VEP
Quasi-Steady-State VEP (QSS-VEP)
Steady-State VEP (SSVEP)
- Language
- ISSN
- 1948-3554
Gaze detection by Steady State Visually Evoked Potentials (SSVEPs) has been a very popular topic for neural rehabilitation and especially Brain Computer Interface (BCI) research. Visual Evoked Potentials (VEPs) provide reliable robust electrophysiological signals for communication and control applications. In this research Quasi-Steady-State VEPs (QSS-VEPs) and their correspondence in this kind of dual target gaze detection application has been demonstrated. Methods for a dual target BCI switch has been developed. Since QSS-VEPs enable acquisition of both SSVEP and transient VEP (TR-VEP) signals at the same time, exploitation of them in a two target BCI application was reasonable. Stimulations of low and high rate pattern-reversal VEPs were utilized in gaze detection. QSS-VEPs and transient VEPs were compared. Receiver Operating Characteristics (ROC) curves were calculated in order to assess performance. We have found that it is possible to achieve high accuracy or ROC area values with QSS-VEPs. The best performance was obtained at 50 reversal per second (rps) stimulation rate. At this rate deconvolved transient signals, which normally has low performance compared to QSS-VEPs, resulted in comparable Information Transfer Rates (ITR) with QSS-VEPs.