10 citations · 12 across the 7 of their papers we have counts for
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Spatial Insight: How Data-Driven Regions of Interest Selection Enhances Single-Trial P300 Classification in EEG-Based BCIs
Eva Guttmann-Flury, Jian Zhao, Mohamad Sawan
EEG-based Brain-Computer Interfaces (BCIs) frequently face spatial specificity limitations in detecting single-trial P300 potentials, a neurophysiological hallmark leveraged for bo…
The Cost of Simplicity: How Reducing EEG Electrodes Affects Source Localization and BCI Accuracy
Eva Guttmann-Flury, Yanyan Wei, Shan Zhao +2
Electrode density optimization in electroencephalography (EEG)-based Brain-Computer Interfaces (BCIs) requires balancing practical usability against signal fidelity, particularly f…
Does Re-referencing Matter? Large Laplacian Filter Optimizes Single-Trial P300 BCI Performance
Eva Guttmann-Flury, Jian Zhao, Mohamad Sawan
Electroencephalography (EEG) provides a non-invasive window into brain activity, enabling Brain-Computer Interfaces (BCIs) for communication and control. However, their performance…
From Noise to Insight: Visualizing Neural Dynamics with Segmented SNR Topographies for Improved EEG-BCI Performance
Eva Guttmann-Flury, Shan Zhao, Jian Zhao +1
Electroencephalography (EEG)-based wearable brain-computer interfaces (BCIs) face challenges due to low signal-to-noise ratio (SNR) and non-stationary neural activity. We introduce…
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
E. Guttmann-Flury, X. Sheng, X. Zhu
In Brain-Computer Interface (BCI) research, the detailed study of blinks is crucial. They can be considered as noise, affecting the efficiency and accuracy of decoding users' cogni…