研究概述:多模态生物电信号(EEG和sEMG)处理;帕金森病的监测与评估。
发表论文:
1.Li W, Ma Y, Shao K, et al. “The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System”.IEEE Transactions on Instrumentation and Measurement,vol. 73, pp. 1-14, 2024.
2.W. Li, Y. Ma, P. Qin, X. Wang, Z. Yi, K. Shao, X. Wu*. “FSTA-Net: Motor Imagery EEG Decoding Based on Time-Frequency-Spatial Features”.IEEE Sensors Journal, 2024.
3. K. Shao, A. Feng*,W. Li. “Finite-time sliding mode synchronization of a fractional-order hyperchaotic system optimized using a differential evolution algorithm with dual neural networks”,IET Networks, vol. 12, no. 3, pp. 87-97, 2023.
4.W. Li, K. Shao, Y. Ma*, X. Wu. “Preliminary study of online real-time control system for lower extremity exoskeletons based on EEG and sEMG fusion”,IEEE International Conference on Robotics and Biomimetics (ROBIO), 2022.
5. L. Yang, W. Cao*,W. Li, X. Wu. “An autoencoder-based feature extraction method applied to the detection of lateral walking gait phase”,The 16th International Conference on Intelligent Robotics and Applications (ICIRA 2023), 2023.