Oscar Ruiz-Salguero

Universidad EAFIT

Papers

6

Total Citations

91

H-Index

5

About

Oscar Ruiz-Salguero is a leading researcher at the intersection of computer graphics, visual computing, and biomedical engineering, with a core focus on advancing rehabilitation and surgical technologies. His major contributions lie in developing computational methods for precise upper limb posture estimation in robotic and virtual reality-based rehabilitation, a critical need for assessing patient recovery and creating realistic VR therapy environments. His work on inverse kinematics for exoskeleton-assisted rehabilitation, which has garnered significant attention (17+ citations), provides economical and accurate joint angle estimation for patients with nervous system injuries. Ruiz-Salguero also explores the role of visual computing as a key enabler for Industry 4.0 and Operator 4.0, demonstrating how physically-based simulation can create non-disruptive, interactive solutions for smart manufacturing. His notable achievements include the creation of an ultrasound image dataset for evaluating image analysis algorithms and research into optical enhancement of exoskeleton-based motion capture. With his most-cited paper on upper limb posture estimation reaching 31 citations, Ruiz-Salguero’s work is instrumental in bridging the gap between computer graphics, robotics, and clinical practice, driving innovation in both rehabilitation and surgical assistance.

Research Focus

Key Achievements

5
H-Index
6
Papers
91
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Upper Limb Posture Estimation in Robotic and Virtual Reality-Based Rehabilitation
31 citations · 2014
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Universidad EAFIT

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago