Papers
4
Total Citations
59
H-Index
3
About
Jian-Long Hao is a leading researcher in the field of robotic-assisted cardiovascular interventions, with a primary focus on percutaneous coronary intervention (PCI). His work addresses the critical challenges of surgeon radiation exposure and the need for precise, naturalistic control in vascular interventional robotics. Hao’s major contributions include the design and evaluation of a bio-inspired robotic hand for PCI, a landmark study with 49 citations that demonstrates how accurate device delivery can be achieved while shielding surgeons from harmful X-ray radiation. He has also pioneered the use of surface electromyography (sEMG) and NARX neural networks to predict natural guidewire rotation, enhancing the dexterity of robotic systems. Additionally, Hao developed a PCA-based method for selecting muscles to recognize interventional manipulations, and he introduced motion scaling control for minimally invasive robots, allowing for more nuanced and safer operations. His work, though early in citation impact, is foundational for advancing intelligent, surgeon-aware robotic systems that reduce occupational hazards and improve procedural outcomes in cardiovascular care.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3PCA-based muscle selection for interventional manipulation recognition3 citations · 2016
- 4