Silvia Francesca Storti on Muck Rack

Silvia Francesca Storti

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Articles

Functional Connectivity and Feature Fusion Enhance Multiclass Motor-Imagery Brain-Computer Interface Performance

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By Gloria Menegaz, Silvia Francesca, Ilaria Siviero, Silvia Francesca Storti
| MDPI
4. Discussion In this work, we proposed a novel approach for extracting and merging features based on brain connectivity and an SCN for MI-BCI applications. Despite the growing interest in brain connectivity estimation, the performance in terms of usability and accuracy is still limited, especially when dealing with low-density EEG systems and multiclass problems [6,22]. To overcome this limitation, our approach integrated TIFs with BCFs through a feature fusion approach.
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