Papers

2

Total Citations

603

H-Index

2

About

Andrea Caprez is a leading researcher in neurorehabilitation robotics, with a primary focus on developing patient-cooperative control strategies for gait training. Her groundbreaking work addresses a critical limitation of conventional robotic devices, which often impose rigid, predefined movement patterns on patients. Caprez pioneered "Path Control," a novel method that allows robots to adapt to a patient's voluntary efforts rather than dictating their motion. This paradigm shift is documented in her most-cited paper (429 citations), which outlines how such cooperative control can enhance robotic behavior in neurorehabilitation. Her subsequent work (174 citations) provides compelling evidence that this approach significantly increases active participation in individuals with spinal cord injury during robot-aided treadmill training. By demonstrating that patient-cooperative control can improve engagement and potentially enhance rehabilitation outcomes compared to passive, robot-driven therapy, Caprez has made a seminal contribution to the field. Her research bridges engineering and clinical neuroscience, offering a more human-centered vision for robotic rehabilitation that prioritizes the patient's active role in recovery.

Research Focus

Key Achievements

2
H-Index
2
Papers
603
Total Citations
302
Avg Citations/Paper
🏆 Most Cited Paper
Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation
429 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Universitätsklinik Balgrist, Sensor Electronics (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago