Papers

31

Total Citations

932

H-Index

16

About

Marc Bolliger is a prominent biomedical engineer and rehabilitation scientist whose work sits at the intersection of robotics, motor learning, and neurological recovery. Based primarily at a leading Swiss rehabilitation research center, Bolliger has dedicated his career to advancing robot-assisted rehabilitation technologies, particularly for patients with stroke, spinal cord injury, and cerebral palsy. His most influential contributions center on enhancing patient engagement during robotic gait training — a challenge as clinically significant as the technology itself. His 2013 work on virtual reality-based motor rehabilitation (151 citations) demonstrated how immersive feedback environments could meaningfully increase patient motivation and participation. Complementing this, his research on computerized visual feedback and active participation control (104 and 84 citations respectively) helped establish evidence-based frameworks for optimizing how patients interact with systems like the Lokomat driven gait orthosis. Bolliger has also pioneered physiological approaches to monitoring patients' psychological states during therapy (89 citations) and developed multidirectional overhead support systems for overground gait training (85 citations). His work spans pediatric and adult populations, addressing muscle stiffness in cerebral palsy and upper limb assessment in spinal cord injury. Across more than a decade of research, Bolliger has fundamentally shaped how clinicians think about measuring, motivating, and maximizing patient effort within robotic rehabilitation.

Research Focus

Key Achievements

16
H-Index
31
Papers
932
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Increasing Patient Engagement During Virtual Reality-Based Motor Rehabilitation
151 citations · 2013
📈 Most Prolific Year: 2011 (5 Papers)
🤝 Key Collaborators: 59
🏛 Institutions: University of Zurich, ETH Zurich, Universitätsklinik Balgrist

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago