Reference author: Jiayuan He

He, J., & Zhu, X. (2017). Combining Improved Gray-Level Co-Occurrence Matrix with High Density for Myoelectric Control Robustness to Electrode Shift IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25. https://doi.org/https://doi.org/10.1109/TNSRE.2016.2644264 (Original work published 2017)

Liu, J., Sheng, X., Zhang, D., He, J., & Zhu, X. (2016). Reduced Daily Re- calibration of Myoelectric Prosthesis Classifiers Based on Domain Adaptation IEEE Journal of Biomedical and Health Informatics, 20. https://doi.org/https://doi.org/10.1109/JBHI.2014.2380454 (Original work published 2016)

He, J., Zhang, D., Sheng, X., & Zhu, X. (2015). A Comparison of Open-Loop and Closed-Loop Adaptive Calibration for Pattern Recognition based Myoelectric Control Presented at the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) conference. Milan, Italy: Engineering in Medicine and Biology Society (EMBC). https://doi.org/https://doi.org/10.1109/EMBC.2015.7318568 (Original work published 2015)

He, J., Zhang, D., Sheng, X., Li, S., & Zhu, X. (2015). Invariant Surface EMG Feature Against Varying Contraction Level for Myoelectric Control Based on Muscle Coordination IEEE Journal of Biomedical and Health Informatics, 19. https://doi.org/https://doi.org/10.1109/JBHI.2014.2330356 (Original work published 2015)

He, J., Zhang, D., Jiang, N., Sheng, X., Farina, D., & Zhu, X. (2015). User Adaptation in Long-term, Open-loop Myoelectric Training: Implications for EMG Pattern Recognition in Prosthesis Control Journal of Neural Engineering, 12. https://doi.org/https://doi.org/10.1088/1741-2560/12/4/046005 (Original work published 2016)

He, J., Sheng, X., Zhu, X., & Jiang, N. (2018). Electrode density affects the robustness of myoelectric pattern recognition system with and without electrode shift https://doi.org/10.1109/JBHI.2018.2805760

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

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

He, J., & Jiang, N. (2020). Biometric from Electromyogram (EMG): Biometric from Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition Frontiers in Bioengineering and Biotechnology. https://doi.org/10.3389/fbioe.2020.00058 (Original work published 2020)

He, J., Joshi, M. V., Chang, J., & Jiang, N. (2020). Efficient Correction of Armband Rotation for Myoelectric-based Gesture Control Interface Journal of Neural Engineering, 17. https://doi.org/10.1088/1741-2552/ab8682