Papers
7
Total Citations
201
H-Index
5
About
Dr. Yi‐Chun Du is a pioneering researcher at the intersection of biomedical engineering, robotics, and intelligent sensing. His work centers on developing advanced robotic systems for medical diagnostics and rehabilitation, with a particular focus on ultrasound imaging and prosthetic control. Dr. Du’s most impactful contribution is his seminal 2009 paper on a portable hand motion classifier using grey relational analysis for multi-channel surface electromyography (sEMG) recognition, which has garnered 115 citations and laid foundational work for intuitive prosthetic control. He has since advanced robotic ultrasound systems (RUS) for clinical applications, notably creating tools for arteriovenous fistula (AVF) stenosis assessment in hemodialysis patients—a critical need given the rising dialysis population. His 2020 work on stereo vision-based object recognition, integrating ANFIS with R-CNN (43 citations), demonstrates his expertise in combining deep learning with robotic manipulation. More recently, Dr. Du has pioneered real-time force and angle calibration for RUS and developed RGB-D sensing with adaptive force control for automated fistula evaluation, pushing toward autonomous medical ultrasound. His research, spanning from wireless vibration sensor networks for robotic arm monitoring to binocular vision tracking, consistently bridges theoretical innovation with practical clinical impact.
Research Focus
Key Achievements
Top Papers
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- 3Eye-to-hand robotic tracking and grabbing based on binocular vision16 citations · 2019
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