Papers
30
Total Citations
858
H-Index
15
About
Johan S. Rietman is a prominent rehabilitation medicine researcher whose work sits at the intersection of robotics, assistive technology, and neurological recovery. His research has focused primarily on developing and evaluating innovative technological solutions for individuals affected by stroke and spinal cord injury, with a particular emphasis on restoring upper and lower limb function. Rietman has made significant contributions to the field through his pioneering investigations into soft-robotic glove systems, including the HandinMind system, which uniquely combines assistive daily-life support with home-based therapeutic training. His work has helped bridge the gap between clinical rehabilitation and domestic settings, demonstrating the feasibility of self-administered, technology-supported recovery. His 2015 study on home-based arm and hand training garnered 139 citations, reflecting its substantial influence on the field. Beyond upper limb rehabilitation, Rietman has explored impedance-controlled robotic gait training for incomplete spinal cord injury and assist-as-needed robotic approaches post-stroke, advancing understanding of how intelligent robotic systems can optimize motor learning. His research with older adults further extends his impact beyond stroke populations. With a body of work accumulating hundreds of citations, Rietman's research has meaningfully shaped how clinicians and engineers approach rehabilitation technology, championing patient-centered, home-adaptable solutions that increase training intensity while reducing burden on therapists.
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