Papers
2
Total Citations
64
H-Index
2
About
Enze Su is a leading researcher in stroke rehabilitation robotics, with a focus on real-time detection and reduction of compensatory movements during therapy. Their key research areas include human-robot interaction, sensor-based motion analysis, and adaptive rehabilitation technologies. Su’s major contributions center on developing intelligent systems that automatically identify when stroke survivors use harmful compensatory patterns—such as trunk substitution—during reaching tasks, and provide immediate feedback to promote correct motor learning. Their 2020 study on real-time compensation detection using pressure distribution sensors (39 citations) demonstrated the feasibility of automated monitoring to improve rehabilitation outcomes without constant therapist supervision. A subsequent pilot study (25 citations) further validated online compensation detection in stroke survivors, showing significant potential for home-based robotic therapy. This work is critical for enabling unsupervised, effective rehabilitation that maximizes neuroplasticity and functional recovery. Su’s research bridges engineering and clinical practice, offering scalable solutions to a persistent challenge in post-stroke care. Their innovative approach to reducing maladaptive compensation has the potential to transform rehabilitation protocols and improve long-term recovery for millions of stroke survivors worldwide.
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