Qinsang Lv
Papers
1
Total Citations
3
H-Index
1
About
Qinsang Lv is a pioneering researcher at the intersection of neural engineering and rehabilitation robotics, with a primary focus on brain-computer interfaces (BCIs) for assistive technologies. His most cited work, "Implementation of brain-computer interface based on SSVEP for control of a lower-limb exoskeleton" (2016), represents a significant contribution to the field by demonstrating how Steady-State Visual Evoked Potentials can be integrated with conventional force and angle sensors to create a hybrid control system for lower-limb rehabilitation exoskeletons. This innovative approach enables users to command robotic assistance through neural signals alone, offering new possibilities for individuals with severe motor impairments. Through carefully designed visual stimulation experiments, Lv's research has shown that subjects can reliably generate electroencephalographic patterns to control exoskeleton movements, bridging the gap between neural decoding and practical rehabilitation applications. While his citation count of 3 reflects the specialized nature of this emerging field, his work has laid important groundwork for non-invasive BCI-controlled exoskeletons, contributing to the broader goal of restoring mobility through intelligent human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1