EEG Signal Processing project, which involves analyzing EEG signals for both ERP and SSVEP.

Processing bioelectrical signals and medical images

Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs. IEEE Transactions on Automation Science and Engineering, 18(2), 552-563."

Simulations of stimulus-stimulus transfer based on time-frequency-joint representation in SSVEP-based BCIs. The proposed stimulus-stimulus transfer method has been published in IEEE TBME (DOI: 10.1109/TBME.2022.3198639)

Data and code for the metrological characterization of a low-cost wearable brain-computer interface

The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)

Data mining based approach to study the effect of caffeinated coffee on SSVEP brain signals. https://doi.org/10.1016/j.compbiomed.2019.103526

Classification toolbox for ERP and SSVEP based BCI data

Gaze data -based epoch selection algorithm for eye tracker assisted visual evoked potential paradigm