10 citations · 10 across the 3 of their papers we have counts for
3 papers
q-bio.NC2025
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…
q-bio.NC2025
Automatic Blink-based Bad EEG channels Detection for BCI Applications
Eva Guttmann-Flury, Yanyan Wei, Shan Zhao
In Brain-Computer Interface (BCI) applications, noise presents a persistent challenge, often compromising the quality of EEG signals essential for accurate data interpretation. Thi…
q-bio.NC2025★ 10 cited
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…