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

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Abstract

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
PublisherIEEE
Publication dateJul 2019
Pages1067-1072
Article number8779376
Chapter8779376
ISBN (Print)978-1-7281-2756-9
ISBN (Electronic)978-1-7281-2755-2
DOIs
Publication statusPublished - Jul 2019
EventInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019) - Toronto, Canada
Duration: 24 Jun 201928 Jun 2019

Conference

ConferenceInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019)
CountryCanada
CityToronto
Period24/06/201928/06/2019
SeriesI E E E International Conference on Rehabilitation Robotics. Proceedings
ISSN1945-7898

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Kæseler, R. L., Jochumsen, M., Leerskov, K., Struijk, L. N. S. A., & Dremstrup, K. (2019). Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials. In 2019 IEEE 16th International Conference on Rehabilitation Robotics, ICORR 2019 (pp. 1067-1072). [8779376] IEEE. I E E E International Conference on Rehabilitation Robotics. Proceedings https://doi.org/10.1109/ICORR.2019.8779376