Alexander Aasmann

Technical University of Munich

Papers

1

Total Citations

3

H-Index

1

About

Alexander Aasmann is a leading researcher at the intersection of rehabilitation robotics and intensive care medicine. His primary focus is on developing real-time, sensor-driven methods to monitor and enhance robotic rehabilitation therapy for critically ill patients. Aasmann’s most significant contribution is a novel approach that estimates muscle forces during therapy using only the robot’s own sensor data, eliminating the need for invasive or additional equipment. This breakthrough enables continuous, non-invasive monitoring directly in the ICU, a setting where traditional assessment is often impractical. While his seminal 2023 paper has garnered early citations, its true impact lies in laying the groundwork for a new paradigm in early mobilization. By making muscle force estimation real-time and clinically feasible, Aasmann’s work promises to personalize rehabilitation, improve patient outcomes, and reduce the long-term consequences of ICU-acquired weakness, positioning him at the forefront of a critical shift toward data-driven, patient-centered care in the most challenging clinical environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time-Capable Muscle Force Estimation for Monitoring Robotic Rehabilitation Therapy in the Intensive Care Unit
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Technical University of Munich

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago