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Oct 2, 2019 · The setting of stimulus parameters is fundamental for this type of BCI, because stimulus parameters have an influence on the performance of the ...
A c-VEP BCI for word spelling, in which it is possible to find the optimal stimulus presentation rate per each subject thanks to an adaptive setting ...
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Mar 6, 2019 · Code modulated Visual Evoked Potentials (c-VEP) based BCI studies usually employ m-sequences as a modulating codes for their broadband ...
A novel c-VEP target detection framework is proposed in this paper. Different user parameter-free methods are used to estimate robust covariance matrix.
For example, Spüler et al. (2012) reported an average ITR of 144 bpm and an accuracy of 96% with a BCI that used code-modulated, visual evoked, potentials and ...
Missing: Setting | Show results with:Setting
Apr 6, 2021 · In this study, we systematically reduce the training data set in a stepwise fashion, to ultimately arrive at a calibration-free method for a code-modulated ...
Nov 26, 2021 · In practice, BCI paradigms rely on the detection of measurable changes in the EEG related to different tasks, known as control signals [1, 7].
Dec 7, 2012 · In this paper we present a c-VEP BCI that uses online adaptation of the classifier to reduce calibration time and increase performance. We ...
Nov 8, 2017 · In this study, we introduce a novel decoding algorithm based on spatiotemporal beamforming, and show that this algorithm is able to accurately identify the ...
Missing: Adaptive | Show results with:Adaptive
The former deals with a code-modulated Visual Evoked Potential (c-VEP) speller where an adaptive parameter setting phase is proposed to replace the standard ...