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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

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.
OriginalsprogEngelsk
TitelIEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019
Antal sider6
ForlagIEEE
Publikationsdatojul. 2019
Sider1-6
Kapitel8779376
ISBN (Trykt)978-1-7281-2756-9
ISBN (Elektronisk)978-1-7281-2755-2
DOI
StatusUdgivet - jul. 2019
BegivenhedInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019) - Toronto, Canada
Varighed: 24 jun. 201928 jun. 2019

Konference

KonferenceInternational Conference on Rehabilitation Robotics 2019 (ICORR 2019)
LandCanada
ByToronto
Periode24/06/201928/06/2019
NavnI E E E International Conference on Rehabilitation Robotics. Proceedings
ISSN1945-7898

Fingerprint

Brain computer interface
Bioelectric potentials
Manipulators
Robotics
Flickering
Degrees of freedom (mechanics)
Testing
Experiments

Citer dette

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. I IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019 (s. 1-6). IEEE. I E E E International Conference on Rehabilitation Robotics. Proceedings https://doi.org/10.1109/ICORR.2019.8779376
Kæseler, Rasmus Leck ; Jochumsen, Mads ; Leerskov, Kasper ; Struijk, Lotte N. S. Andreasen ; Dremstrup, Kim. / Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials. IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019. IEEE, 2019. s. 1-6 (I E E E International Conference on Rehabilitation Robotics. Proceedings).
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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.",
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Kæseler, RL, Jochumsen, M, Leerskov, K, Struijk, LNSA & Dremstrup, K 2019, Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials. i IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019. IEEE, I E E E International Conference on Rehabilitation Robotics. Proceedings, s. 1-6, International Conference on Rehabilitation Robotics 2019 (ICORR 2019), Toronto, Canada, 24/06/2019. https://doi.org/10.1109/ICORR.2019.8779376

Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials. / Kæseler, Rasmus Leck; Jochumsen, Mads; Leerskov, Kasper; Struijk, Lotte N. S. Andreasen; Dremstrup, Kim.

IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019. IEEE, 2019. s. 1-6 (I E E E International Conference on Rehabilitation Robotics. Proceedings).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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AU - Kæseler, Rasmus Leck

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AU - Dremstrup, Kim

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N2 - 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.

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Kæseler RL, Jochumsen M, Leerskov K, Struijk LNSA, Dremstrup K. Designing a brain computer interface for control of an assistive robotic manipulator using steady state visually evoked potentials. I IEEE 16th International Conference on Rehabilitation Robotics (ICORR), 2019. IEEE. 2019. s. 1-6. (I E E E International Conference on Rehabilitation Robotics. Proceedings). https://doi.org/10.1109/ICORR.2019.8779376