Xuyang Wei

Papers

Total Citations

H-Index

About

Xuyang Wei is a leading researcher in stroke rehabilitation robotics, specializing in the real-time detection and reduction of compensatory movements during therapy. His work addresses a critical challenge in neurorehabilitation: patients often develop abnormal movement patterns—such as trunk compensation—when performing tasks without supervision, which can hinder long-term recovery. Wei’s most-cited study (2020, 39 citations) demonstrated the feasibility of using pressure distribution sensors to monitor compensatory behaviors in real time during robotic therapy. Building on this, his pilot study with stroke survivors (2020, 25 citations) introduced an online compensation detection system that automatically reduces compensatory motions during reaching tasks, promoting correct motor learning. These contributions have laid the groundwork for intelligent rehabilitation systems that provide real-time feedback, enabling more effective, unsupervised therapy. By integrating sensor technology with robotic platforms, Wei’s research directly improves clinical outcomes for stroke patients, offering a scalable solution to a pervasive problem in rehabilitation. His work is widely cited by engineers and clinicians alike, reflecting its impact on both the design of assistive technologies and the practice of evidence-based neurorehabilitation.