Selected Publications

• S. M. Shafiul Hasan and O. Bai, “VMD-WSST: A Combined BCI Algorithm to Predict Self-paced Gait Intention*”, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, pp. 3188-3193, doi: 10.1109/SMC52423.2021.9658856.
• Hasan, S.S., Siddiquee, M.R., Marquez, J.S. and Bai, O., 2021. “Preliminary Study on Real-time Prediction of Gait Acceleration Intention from Volition-Associated EEG Patterns”, IEEE Access 9.
• Hasan, S.S., Siddiquee, M.R., Marquez, J.S. and Bai, O., 2020. “Enhancement of Movement Intention Detection Using EEG Signals Responsive to Emotional Music Stimulus”, IEEE Transactions on Affective Computing.
• Marquez, J.S., Hasan, S.M., Siddiquee, M.R., Luca, C.C., Mishra, V.R., Mari, Z. and Bai, O., 2020. “Neural Correlates of Freezing of Gait in Parkinson’s Disease: An Electrophysiology Mini-Review”, Frontiers in Neurology, 11, p.1303.
• Hasan, S.S., Siddiquee, M.R. and Bai, O., 2020. “Asynchronous Prediction of Human Gait Intention in a Pseudo Online Paradigm Using Wavelet Transform”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(7), pp.1623- 1635.
• Shafiul Hasan, S.M., Siddiquee, M.R., Atri, R., Ramon, R., Marquez, J.S. and Bai, O., 2020. “Prediction of gait intention from pre-movement EEG signals: a feasibility study”, Journal of neuroengineering and rehabilitation, 17, pp.1-16.
• Hasan, S.S., Siddiquee, M.R. and Bai, O., 2019, December. “Supervised classification of EEG signals with score threshold regulation for pseudo-online asynchronous detection of gait intention”, In 2019 18th IEEE International Conference on Machine Learning and Applications (ICMLA) (pp. 1476-1479), IEEE.
• Shahnaz, C. and Hasan, S.S., 2016, November. “Emotion recognition based on wavelet analysis of Empirical Mode Decomposed EEG signals responsive to music videos”, In 2016 IEEE Region 10 Conference (TENCON) (pp. 424-427), IEEE.