Qingqing Chen

Title: Innovations by Qingqing Chen in Rehabilitation Robotics

Introduction

Qingqing Chen is an accomplished inventor based in Nanjing, China. He has made significant contributions to the field of rehabilitation robotics, focusing on enhancing hand-eye coordination and upper limb rehabilitation through innovative technologies. With a total of two patents to his name, Chen's work is paving the way for advancements in therapeutic practices.

Latest Patents

One of Chen's latest patents is a "Robot-assisted hand-eye coordination training system based on smooth pursuit eye movement and guidance force field." This system includes a virtual interactive scene module, a smooth pursuit eye movement detection module, a robot-assisted interception module, and an impact force rendering module. The virtual interactive scene module generates a virtual environment with moving objects, while the detection module collects eye movement signals to identify smooth pursuit events. The interception module estimates the movement direction of virtual objects and generates assisting forces to aid users in their training. The impact force rendering module computes impact forces upon collision detection.

Another notable patent is the "Adaptive control method and system for upper limb rehabilitation robot based on game theory and surface electromyography (sEMG)." This system utilizes a movement trajectory designed for the robot during training sessions. It incorporates an sEMG-based Back Propagation Neural Network (BPNN) to establish a dynamic relationship between sEMG signals and muscle forces. The system adapts to the user's movement intentions, adjusting the training mode based on game theory principles and ensuring effective rehabilitation.

Career Highlights

Qingqing Chen is affiliated with Southeast University, where he continues to innovate in the field of rehabilitation technology. His research focuses on integrating advanced robotics with therapeutic practices to improve patient outcomes. His work is recognized for its potential to transform rehabilitation methods and enhance the quality of life for individuals with upper limb impairments.

Collaborations

Chen collaborates with notable colleagues, including Hong Zeng and Xiao Li, who contribute to his research endeavors. Their combined expertise fosters a collaborative environment that drives innovation in rehabilitation robotics.

Conclusion

Qingqing Chen's contributions to rehabilitation robotics through his innovative patents demonstrate his commitment to improving therapeutic practices. His work not only advances technology but also holds the promise of enhancing the rehabilitation experience for patients.