10 citations · 12 across the 7 of their papers we have counts for
8 papers
EEG Emotion Recognition From AI-Generated Biodigital Architecture Images
Hongye Yang, Eva Guttmann-Flury
Emotional responses to biodigital architecture were examined using electroencephalographic (EEG) data from AI-generated images. A pre-experiment involving 336 participants identifi…
A Synchronous EEG-fNIRS BCI: A Proof-of-Concept for Multimodal Avalanche Analysis of Motor Cognition in Older Adults
Eva Guttmann-Flury, Yun-Hsuan Chen, Qiaoyuan Xiang +2
This proof-of-concept study introduces a novel multimodal framework combining synchronized EEG-fNIRS modalities with neuronal avalanche analysis to identify early network dysfuncti…
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…
Preliminary Results on a New Algorithm for Blink Correction Adaptive to Inter- and Intra-Subject Variability
E. Guttmann-Flury, X. Sheng, D. Zhang +1
This paper presents a new preprocessing method to correct blinking artifacts in Electroencephalography (EEG) based Brain-Computer Interfaces (BCIs). This Algorithm for Blink Correc…