Jiacan Xu
Papers
2
Total Citations
25
H-Index
2
About
Jiacan Xu is a researcher at the forefront of rehabilitation robotics and human-machine interaction, with a core focus on restoring motor function for stroke patients. Her work uniquely bridges biomechanical modeling and advanced machine learning to enhance the efficacy and comfort of upper limb rehabilitation. A major contribution is her development of a novel method for continuous, real-time estimation of upper limb joint angles from surface electromyography (sEMG) signals. By integrating multiple decomposition features with a Bidirectional Long Short-Term Memory (BiLSTM) network, her 2022 paper (23 citations) provides a robust, non-invasive approach for intuitive prosthetic and exoskeleton control, directly improving patient-machine synergy. Earlier, she pioneered an improved artificial immune algorithm for trajectory optimization, addressing the critical balance between rehabilitation effectiveness and patient comfort. This work, which introduced a comprehensive human engineering index, laid the groundwork for personalized therapy paths. Xu’s research is instrumental in moving rehabilitation from passive, repetitive exercises to intelligent, adaptive systems that respond to a patient’s physiological state, promising faster, more comfortable recovery.
Research Focus
Key Achievements
Top Papers
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- 2