Papers
4
Total Citations
12
H-Index
3
About
Kajetan Jeznach is a rising researcher at the forefront of intelligent rehabilitation robotics, specializing in the intersection of exoskeleton control, biomedical signal processing, and virtual reality (VR)-based telerehabilitation. His work addresses critical challenges in automating and remotely supervising physiotherapy for both upper and lower extremities. Jeznach’s major contributions include developing similarity analysis algorithms for upper limb trajectories to enable intelligent control systems for rehabilitation exoskeletons, and designing PID-controlled lower limb exoskeletons integrated with VR for immersive telerehabilitation. He has also pioneered methods for automatic interpretation of biomedical signals to ensure patient safety and optimize therapy, while investigating network delays and connection stability in teleoperated systems. His most cited paper (4 citations) on upper extremity trajectory analysis lays groundwork for AI-driven exercise modeling. Though early in his career, Jeznach’s research directly addresses the growing global demand for accessible, effective physiotherapy for aging and disabled populations, demonstrating a clear trajectory toward impactful innovations in assistive robotics.
Research Focus
Key Achievements
Top Papers
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