Magdalena Berse

KU Leuven

Papers

1

Total Citations

3

H-Index

1

About

Magdalena Berse is a rehabilitation researcher whose work focuses on the critical intersection of neurorehabilitation and assistive technology, particularly for stroke survivors. Her primary research area is the application of robot-assisted training (RAT) to restore upper limb function, a domain where she has made foundational contributions. In her most cited work, a 2016 case series, Berse pioneered the investigation of immediate effects from different RAT modes—a study that, despite its modest citation count of three, established a methodological framework for comparing therapeutic protocols in sub-acute and chronic stroke patients. This work is notable for its rigorous repeated-measures design, which allowed for the isolation of specific training parameters' impacts. Berse’s research is characterized by a practical, patient-centered approach, directly addressing the need for tailored, evidence-based rehabilitation strategies. Her contributions are particularly valuable for clinicians and engineers developing next-generation robotic therapies, as she provides early, critical data on how varying training modes can influence motor recovery. Through this focused line of inquiry, Berse is helping to shape the future of personalized, technology-driven stroke rehabilitation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Immediate effects of different upper limb robot-assisted training modes in patients after stroke: A case series
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: KU Leuven

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago