Reference author: Jiayuan He

First name

Jiayuan

Last name

He

Ding, L., He, J., Yao, L., Zhuang, J., Chen, shugeng, Wang, H., … Jia, J. (2020). Mirror visual feedback combining vibrotactile stimulation promotes embodiment perception: an electroencephalogram (EEG) pilot study N/A. https://doi.org/10.3389/fbioe.2020.553270

He, J., Sheng, X., Zhu, X., & Jiang, N. (2020). Position Identification for Robust Myoelectric Control against Electrode Shift IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28. https://doi.org/10.1109/TNSRE.2020.3038374

He, J., Joshi, M. V., Chang, J., & Jiang, N. (2019). Efficient Correction of Armband Rotation for Myoelectric-based Gesture Control Interface Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ab8682

He, J., Sheng, X., Zhu, X., & Jiang, N. (2019). Electrode density affects the robustness of myoelectric pattern recognition system with and without electrode shift IEEE Journal of Biomedical and Health Informatics, 23, 8. https://doi.org/10.1109/JBHI.2018.2805760 (Original work published 2019)

He, J., Sheng, X., Zhu, X., & Jiang, N. (2019). A Novel Framework Based on Position Verification for Robust Myoelectric Control Against Sensor Shift IEEE Sensors, 19, 9859-9868. https://doi.org/10.1109/JSEN.2019.2927325 (Original work published 2019)

He, J., Li, K., Liao, X., Zhang, P., & Jiang, N. (2019). Real-time Detection of Acute Cognitive Stress Using a Convolutional Neural Network from Electrocardiographic Signal IEEE Acces, 7, 42710-42717. https://doi.org/10.1109/ACCESS.2019.2907076 (Original work published 2019)

He, J., Sheng, X., Zhu, X., Jiang, C., & Jiang, N. (2019). Spatial Information Enhances Myoelectric Control Performance with Only Two Channels IEEE Transactions on Industrial Informatics, 15, 7. https://doi.org/DOI: 10.1109/TII.2018.2869394 (Original work published 2019)

He, J., Jia, J., & Jiang, N. (2019). Wrist and Finger Gesture Recognition with Single-element Ultrasound Signals: A Comparison with Single-channel Surface Electromyogram IEEE Transactions on Biomedical Engineering, 66, 1277-1284. https://doi.org/10.1109/TBME.2018.2872593 (Original work published 2019)