Jonas Massmann
Papers
1
Total Citations
5
H-Index
1
About
Jonas Massmann is a researcher at the intersection of rehabilitation robotics and functional electrical stimulation (FES), dedicated to restoring upper limb function in stroke and spinal cord injured (SCI) patients. His work centers on developing hybrid neuroprosthetic systems that combine robotic weight compensation with precisely controlled FES of key muscles—including the biceps, triceps, and deltoids—to enable more natural, cyclic movements. Massmann’s key contribution is the introduction of iterative learning vector fields, a control framework that adapts stimulation patterns in real-time based on patient performance, significantly improving movement accuracy and reducing muscle fatigue. His most cited paper (2018, 5 citations) lays the groundwork for this approach, demonstrating how closed-loop FES can synergize with robotic support to enhance rehabilitation outcomes. Though early in his career, Massmann’s work has been recognized for its potential to make therapy more effective and accessible, with his methods informing subsequent studies on adaptive neuroprosthetics. His research promises to bridge the gap between assistive technology and neural recovery, offering new hope for individuals with motor impairments.
Research Focus
Key Achievements
Top Papers
- 1