A methodology for enhancing SSVEP features using adaptive filtering based on the spatial distribution of EEG signals

S Wang, B Ji, D Shao, W Chen, K Gao - Micromachines, 2023‏ - mdpi.com
In this paper, we propose a classification algorithm of EEG signal based on canonical
correlation analysis (CCA) and integrated with adaptive filtering. It can enhance the …

GAPses: Versatile smart glasses for comfortable and fully-dry acquisition and parallel ultra-low-power processing of EEG and EOG

S Frey, MA Lucchini, V Kartsch… - … Circuits and Systems, 2024‏ - ieeexplore.ieee.org
Recent advancements in head-mounted wearable technology are revolutionizing the field of
biopotential measurement, but the integration of these technologies into practical, user …

Estimating steady-state evoked potentials in the limit of short data duration and low stimulation frequency

M Buiatti, D Saretta - bioRxiv, 2024‏ - biorxiv.org
Because of their high signal-to-noise ratio and robustness to artifacts, Steady-State Evoked
Potentials (SSEP)-the periodic responses elicited by periodic stimulation designs-are …

Nesne Seçme İçin Beyin Bilgisayar Arayüzü Brain Computer Interface for Object Selection

AN Aydağ, G Kantar, C Aksoy, N Alp… - 2024 32nd Signal …, 2024‏ - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) enable computer command generation through brain
signals, and are applicable in diverse fields like robot control and neuromarketing. As they …