Papers
2
Total Citations
17
H-Index
2
About
Arturo Bertomeu is a researcher dedicated to advancing rehabilitation robotics, with a particular focus on developing intelligent, patient-centered technologies for upper-limb recovery. His work bridges the gap between automated therapy and personalized care, aiming to make rehabilitation more effective and accessible. A key contribution is his research on home-use robotic devices; his 2018 study evaluating such a system from the patient’s perspective (9 citations) provides critical insights into user acceptance and real-world usability, helping to move therapy beyond clinical settings. Bertomeu’s most notable work involves creating an auto-adaptive therapy system, detailed in a 2015 paper (8 citations). This system integrates a neuro-fuzzy classifier—combining Adaptive Resonance Theory (ART) neural networks with Fuzzy Set Theory—to dynamically interpret a patient’s physiological reactions and adjust robotic assistance in real time. This pioneering approach allows therapy to respond intuitively to individual needs, enhancing engagement and recovery outcomes. With a cumulative impact of over 17 citations on these core studies, Bertomeu’s research is laying the groundwork for smarter, more responsive rehabilitation technologies that empower patients in their own recovery journey.
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