Joan De Boeck
Papers
3
Total Citations
40
H-Index
2
About
Joan De Boeck's research lies at the critical intersection of rehabilitation robotics and multiple sclerosis (MS) care, with a primary focus on restoring upper limb function. Her foundational work investigates how force-feedback technology can be harnessed to improve motor control and movement accuracy in individuals with MS. A key contribution is her pioneering use of the Phantom haptic device for robotic rehabilitation, demonstrating that robotic outcome measures can provide clinically relevant insights beyond traditional assessments. Her 2009 study on arm training in MS, which has garnered 32 citations, established a framework for evaluating the clinical relevance of robotic metrics. De Boeck further advanced the field by exploring the learning effects of force-feedback-enabled therapy in a pilot study, showing that patients can adapt to and benefit from haptic guidance. Her later work on improved haptic linear lines (2012) refined the design of force fields to enhance movement accuracy, tailoring robotic assistance to individual patient needs. Through these contributions, De Boeck has helped bridge the gap between engineering innovation and clinical rehabilitation, laying groundwork for more precise, adaptive therapies that address the debilitating upper limb weakness caused by MS.
Research Focus
Key Achievements
Top Papers
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