Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/14637
Title: Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response.
Authors: Carvalho, Sarah Negreiros de
Vargas, Guilherme Vettorazzi
Costa, Thiago Bulhões da Silva
Leite, Harlei Miguel de Arruda
Coradine, Luis Cláudius
Boccato, Levy
Soriano, Diogo Coutinho
Attux, Romis Ribeiro de Faissol
Keywords: Brain-computer interface
Steady-state visually evoked potential
Spatial filtering
Temporal filtering
Minimum variance distortionless response
Issue Date: 2021
Citation: CARVALHO, S. N. de. et al. Space-time filter for SSVEP brain-computer interface based on the minimum variance distortionless response. Medical & Biological Engineering & Computing, v. 59, p.1133–1150, abr. 2021. Disponível em: <https://link.springer.com/article/10.1007%2Fs11517-021-02345-7>. Acesso em: 12 set. 2021.
Abstract: Brain-computer interfaces (BCI) based on steady-state visually evoked potentials (SSVEP) have been increasingly used in different applications, ranging from entertainment to rehabilitation. Filtering techniques are crucial to detect the SSVEP response since they can increase the accuracy of the system. Here, we present an analysis of a space-time filter based on the Minimum Variance Distortionless Response (MVDR). We have compared the performance of a BCISSVEP using the MVDR filter to other classical approaches: Common Average Reference (CAR) and Canonical Correlation Analysis (CCA). Moreover, we combined the CAR and MVDR techniques, totalling four filtering scenarios. Feature extraction was performed using Welch periodogram, Fast Fourier transform, and CCA (as extractor) with one and two harmonics. Feature selection was performed by forward wrappers, and a linear classifier was employed for discrimination. The main analyses were carried out over a database of ten volunteers, considering two cases: four and six visual stimuli. The results show that the BCI-SSVEP using the MVDR filter achieves the best performance among the analysed scenarios. Interestingly, the system’s accuracy using the MVDR filter is practically constant even when the number of visual stimuli was increased, whereas degradation was observed for the other techniques.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/14637
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007%2Fs11517-021-02345-7
metadata.dc.identifier.doi: https://doi.org/10.1007/s11517-021-02345-7
ISSN: 1741-0444
Appears in Collections:DEELT - Artigos publicados em periódicos

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