Papers
12
Total Citations
404
H-Index
8
About
Dr. Yixiong Chen is a pioneering researcher in rehabilitation robotics and human-robot interaction, with a focus on lower limb assistive technologies for patients with hemiplegia or paraplegia. His most influential work centers on the development of the iLeg robot, a proof-of-concept lower limb rehabilitation system featuring a reclining seat and leg orthoses with three degrees of freedom for hip, knee, and ankle movement. Chen’s major contributions include novel control strategies—such as impedance-based passive, damping-active, and spring-active training—and the integration of functional electrical stimulation (FES) with robotic rehabilitation, as demonstrated in his FES-assisted training approach. His early work on sEMG-based continuous joint angle estimation using BP neural networks (199 citations) laid the groundwork for motion intention recognition, while his exploration of sEMG feature extraction via discrete wavelet transform advanced pattern recognition for upper limbs. With over 400 total citations across his top papers, Chen’s research has significantly impacted neurorehabilitation, offering practical solutions for motor recovery. His iLeg system and training methodologies remain foundational in the field, inspiring further innovations in robot-assisted therapy.
Research Focus
Key Achievements
Top Papers
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- 6SEMG feature extraction methods for pattern recognition of upper limbs17 citations · 2011
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