Karin Coninx
iMinds, Hasselt University, Transnational University Limburg
Papers
14
Total Citations
264
H-Index
9
About
Karin Coninx is a prominent researcher whose work sits at the intersection of rehabilitation robotics, human-computer interaction, and neurological disorders, with a particular focus on upper limb rehabilitation for people with multiple sclerosis (MS) and stroke. Over more than a decade of sustained inquiry, Coninx has made significant contributions to understanding how robot-mediated and technology-assisted training can restore motor function in individuals with neurological impairments. Her most influential study, a 2015 pilot randomized controlled trial on robot-supported upper limb training in MS (71 citations), helped establish the clinical viability of intensive robotic rehabilitation in a population historically underserved by such interventions. Subsequent work, including the widely cited I-TRAVLE adaptive training system study (48 citations), demonstrated proof-of-concept efficacy across both MS and chronic stroke populations. Coninx has also meaningfully advanced the field's understanding of exercise-related fatigability in MS patients undergoing robotic therapy — a critical practical concern for clinical implementation. Her development of serious games and tangible rehabilitation tools, such as the Handly system, reflects a commitment to making rehabilitation both effective and engaging. With a body of work spanning clinical trials, biomechanical assessment, and patient experience research, Coninx has helped shape modern approaches to technology-driven neurorehabilitation.
Research Focus
Key Achievements
Top Papers
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- 8Watering the flowers10 citations · 2011
- 9Collision avoidance and map construction using synthetic vision9 citations · 2000
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