RT info:eu-repo/semantics/article
T1 Asynchronous Control of ERP-Based BCI Spellers Using Steady-State Visual Evoked Potentials Elicited by Peripheral Stimuli
A1 Santamaría Vázquez, Eduardo
A1 Martínez Cagigal, Víctor
A1 Gomez Pilar, Javier
A1 Hornero, Roberto
K1 Brain–computer interfaces
K1 Event-related potentials
K1 Asynchrony
K1 Control-state detection
K1 Steady-state visual evoked potentials
K1 P300
AB Brain-computer interface (BCI) spellers based on event related potentials (ERPs) are intrinsically synchronous systems. Therefore, selections are constantly made, even when users are not paying attention to the stimuli. This poses a major limitation in real-life applications, in which an asynchronous control is required. The aim of this study is to design, develop and test a novel method to discriminate whether the user is controlling the system (i.e., control state) or is engaged in other task (i.e., non-control state). To achieve such an asynchronous control, our method detects the steady-state visual evoked potentials (SSVEPs) elicited by peripheral stimuli of ERP-based spellers. A characterization experiment was conducted with 5 subjects to investigate general aspects of this phenomenon. Then, the proposed method was validated with 15 subjects in offline and online sessions. Results show that the proposed method provides a reliable asynchronous control, achieving an average accuracy of 95.5% for control state detection during the online sessions. Furthermore, our approach is independent of the ERP classification stage, and to the best of our knowledge, is the first procedure that does not need to extend the duration of the calibration sessions to acquire non-control observations.
PB IEEE
YR 2019
FD 2019-08-12
LK https://uvadoc.uva.es/handle/10324/65980
UL https://uvadoc.uva.es/handle/10324/65980
LA spa
NO IEEE Transactions on Neural Systems and Rehabilitation Engineering, Agosto, 2019, vol. 27 (9), pp. 1883 - 1892.
DS UVaDOC
RD 02-dic-2024