Ravi, A. ., Lu, J. ., Pearce, S. ., & Jiang, N. . (2022). Enhanced System Robustness of Asynchronous BCI in Augmented Reality using Steady-state Motion Visual Evoked Potential. IEEE Transactions in Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/TNSRE.2022.3140772
Publications
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Gao, Y. ., Ravi, A. ., & Jiang, N. . (2021). Effect of Competing Stimuli for Steady-State Visually Evoked Potential and Steady-State Motion Visually Evoked Potential. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3112218
Lulic, T. ., Negro, F. ., Jiang, N. ., & Dickerson, C. . (2021). A framework for investigating neuromusculoskeletal control of pectoralis major muscle: A combined high-density electromyography and neural decoding approach. Journal of Electromyography and Kinesiology, 56. https://doi.org/10.1016/j.jelekin.2020.102509
Pradhan, A. ., He, J. ., & Jiang, N. . (2021). Performance Optimization of Surface Electromyography based Biometric Sensing System for both Verification and Identification. IEEE Sensors. https://doi.org/10.1109/JSEN.2021.3079428
Ravi, A. ., Lu, J. ., Pearce, S. ., & Jiang, N. . (2021). Asynchronous SSMVEP BCI and Influence of Dynamic Background in Augmented Reality. https://doi.org/10.1109/M2VIP49856.2021.9665078
Pradhan, A. ., He, J. ., & Jiang, N. . (2021). Score, Rank, and Decision-Level Fusion Strategies of Multicode Electromyogram-based Verification and Identification Biometrics. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2021.3109595
Gao, Y. ., Ravi, A. ., & Jiang, N. . (2021). Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?. (Original work published 2021)
Gao, Y. ., Ravi, A. ., & Jiang, N. . (2021). Does Inter-Stimulus Distance Influence the Decoding Performance of SSVEP and SSMVEP BCI?. 10th International IEEE EMBS Conference on Neural Engineering (NER). Presented at the. https://doi.org/10.1109/NER49283.2021.9441069
Guo, W. ., Ma, C. ., Zhang, H. ., Farina, D. ., Jiang, N. ., & Lin, C. . (2020). ong exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/abd461
Ravi, A. ., Beni, N. H., Manuel, J. ., & Jiang, N. . (2020). Comparing user-dependent and user-independent training of CNN for SSVEP BCI. Journal of Neural Engineering. Retrieved from https://iopscience.iop.org/article/10.1088/1741-2552/ab6a67?fbclid=IwAR1otOARfDDNdkZ-b8RJifmNtPoUYEMB59zrXNebsCohlox85Yy-pJcqldk (Original work published 2020)