Tianzhe Bao
Papers
3
Total Citations
16
H-Index
3
About
Tianzhe Bao is a researcher at the forefront of neurorehabilitation engineering, with a focused expertise in post-stroke motor recovery. Their work bridges the critical gap between quantitative assessment and robotic intervention. A key contribution is the development of a novel method for quantifying elbow spasticity, moving beyond the subjective Modified Ashworth Scale by using surface electromyography (sEMG) and muscle activation estimation relative to maximal voluntary contraction. This foundational paper has garnered 10 citations, highlighting its impact on improving diagnostic objectivity. Expanding into therapeutic applications, Bao has designed a knee exoskeleton featuring a compliant actuator specifically for post-stroke rehabilitation, addressing the growing challenge of knee joint disorders. Most recently, they have pioneered the integration of deep learning with myoelectric control, exploring how advanced feature construction and network design can enable intuitive gesture recognition for robot-assisted therapy. This work, published in 2024, signals a forward-looking approach to creating smarter, more responsive rehabilitation devices. Through these contributions, Bao is advancing a future where quantitative sensing and intelligent robotics work in concert to restore function and improve quality of life for stroke survivors.
Research Focus
Key Achievements
Top Papers
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