Khalil Boukthir

University of Sfax

Papers

1

Total Citations

26

H-Index

1

About

Dr. Khalil Boukthir is a leading researcher at the intersection of biomedical engineering, robotics, and artificial intelligence, with a primary focus on developing intelligent rehabilitation systems. His most notable contribution is the creation of a novel wrist–forearm rehabilitation protocol that seamlessly integrates human biomechanics with machine learning. In his highly cited 2023 work, he developed a remote rehabilitation system combining an IoT-connected robot with a Support Vector Machine (SVM)-based algorithm for real-time muscle fatigue estimation. By mathematically modeling the wrist and forearm joints and embedding this into the system’s controller, Boukthir’s approach enables personalized, adaptive therapy that can be delivered remotely. This pioneering work, which has already garnered 26 citations, addresses a critical need in post-stroke and injury recovery by making rehabilitation more accessible and effective. His research stands out for its interdisciplinary synthesis, bridging mechanical design, control systems, and data-driven health monitoring. Boukthir’s contributions are paving the way for the next generation of smart, patient-centric rehabilitation technologies, offering significant promise for improving motor recovery outcomes.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A New Wrist–Forearm Rehabilitation Protocol Integrating Human Biomechanics and SVM-Based Machine Learning for Muscle Fatigue Estimation
26 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Sfax

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago