Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials

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An assistive robotic manipulator (ARM) can provide independence and improve the quality of life for patients suffering from tetraplegia. However, to properly control such device to a satisfactory level without any motor functions requires a very high performing brain-computer interface (BCI). Steady-state visual evoked potentials (SSVEP) based BCI are among the best performing. Thus, this study investigates the design of a system for a full workspace control of a 7 degrees of freedom ARM. A SSVEP signal is elicited by observing a visual stimulus flickering at a specific frequency and phase. This study investigates the best combination of unique frequencies and phases to provide a 16-target BCI by testing three different systems offline. Furthermore, a fourth system is developed to investigate the impact of the stimulating monitor refresh rate. Experiments conducted on two subjects suggest that a 16-target BCI created by four unique frequencies and 16-unique phases provide the best performance. Subject 1 reaches a maximum estimated ITR of 235 bits/min while subject 2 reaches 140 bits/min. The findings suggest that the optimal SSVEP stimuli to generate 16 targets are a low number of frequencies and a high number of unique phases. Moreover, the findings do not suggest any need for considering the monitor refresh rate if stimuli are modulated using a sinusoidal signal sampled at the refresh rate.
Original languageEnglish
Title of host publication2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019
Number of pages6
Publication dateJul 2019
Article number8779376
ISBN (Print)978-1-7281-2756-9
ISBN (Electronic)978-1-7281-2755-2
Publication statusPublished - Jul 2019
EventInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019) - Toronto, Canada
Duration: 24 Jun 201928 Jun 2019


ConferenceInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019)
SeriesI E E E International Conference on Rehabilitation Robotics. Proceedings


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