Jingzhi Ruan
Papers
1
Total Citations
32
H-Index
1
About
Jingzhi Ruan is a leading researcher at the intersection of assistive robotics, rehabilitation engineering, and human–machine interaction. Her work centers on developing intelligent, wearable robotic systems that restore hand function for individuals with neurological impairments, particularly stroke survivors. Ruan’s most cited paper, “Toward Hand Pattern Recognition in Assistive and Rehabilitation Robotics Using EMG and Kinematics” (2021, 32 citations), introduces a novel pattern recognition framework that fuses electromyography (EMG) signals with kinematic data. This approach significantly improves the accuracy and responsiveness of hand exoskeletons, enabling more natural and intuitive control during daily living assistance and rehabilitation exercises. By bridging biosignal processing with robotic actuation, Ruan has advanced the practical deployment of wearable hand robots. Her contributions are pivotal for developing adaptive, user-specific assistive devices that respond to individual muscle activity and movement patterns. With a growing citation impact, Ruan’s work is shaping the next generation of neurorehabilitation technologies, offering hope for enhanced motor recovery and independence in patients with hand disabilities.
Research Focus
Key Achievements
Top Papers
- 1