Mike D. Rinderknecht

ETH Zurich

Papers

9

Total Citations

198

H-Index

7

About

Mike D. Rinderknecht is a leading researcher in neurorehabilitation engineering, specializing in the quantitative assessment and restoration of sensorimotor function after neurological injuries such as stroke. His work centers on developing rapid, reliable robotic and virtual reality tools to evaluate proprioception—the sense of body position—and to deliver targeted hand and wrist rehabilitation. Rinderknecht’s major contributions include creating validated robotic assessments for post-stroke proprioceptive deficits, such as a gauge position matching paradigm and a device for evaluating hand impairments, which have been cited over 40 times each. He also pioneered combined tendon vibration and virtual reality therapy for patients with severe paresis, enabling rehabilitation when active movement is impossible. With over 190 total citations, his research has established age-based normative models for joint proprioception, crucial for distinguishing healthy aging from pathological deficits. Notably, his work on rapid, adaptive robotic assessments has advanced clinical feasibility, allowing for objective, detailed diagnostics that surpass traditional clinical scores. Rinderknecht’s innovations are shaping patient-specific rehabilitation strategies, bridging the gap between motor and sensory recovery.

Research Focus

Key Achievements

7
H-Index
9
Papers
198
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Reliability, validity, and clinical feasibility of a rapid and objective assessment of post-stroke deficits in hand proprioception
46 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: ETH Zurich

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago