Simultaneous detection method of P300 event-related potentials and eye gaze point using multi-pseudorandom and flash...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Human-Computer Interaction

Background:

• Brain-computer interfaces (BCIs) offer alternative communication and control methods for individuals with severe motor impairments.
• Simultaneous detection of neural signals like P300 and eye gaze can enhance BCI system efficiency and accuracy.
• Existing BCI systems often require separate modules for detecting cognitive events and tracking eye movements.

Purpose of the Study:

• To develop and evaluate a prototype BCI system capable of simultaneously detecting P300 responses and eye gaze points.
• To investigate the efficacy of using visual evoked potentials (VEPs) elicited by multi-pseudorandom and flash stimuli for this dual detection.
• To assess the system's potential as a practical and user-friendly brain-computer interface.

Main Methods:

• Utilized visual evoked potentials (VEPs) elicited by simultaneous presentation of six small squares flashed at 180 ms intervals.
• Employed pseudorandom binary sequences (PRBS) to modulate frame luminance for eye gaze detection.
• Recorded electroencephalography (EEG) while subjects focused attention on designated targets and calculated cross-correlation functions (kernels) between EEG and PRBS.

Main Results:

• Successfully detected clear P300 responses indicative of target detection.
• Simultaneously identified the subject's gazed target using calculated kernel responses.
• Demonstrated the feasibility of dual P300 and eye gaze detection within a single system.

Conclusions:

• The developed method enables simultaneous detection of P300 responses and eye gaze points.
• This integrated approach shows significant promise for creating practical and efficient brain-computer interface systems.
• Further development could lead to improved assistive technologies for individuals with disabilities.