Santiago Ezquerro
Papers
8
Total Citations
174
H-Index
7
About
Santiago Ezquerro is a leading researcher in robotic-assisted neurorehabilitation, with a focus on integrating virtual reality, brain–machine interfaces, and intelligent assistive technologies to restore motor function after stroke. His major contributions include pioneering comparative analyses of 2D and 3D virtual tasks for post-stroke therapy (53 citations), developing novel kinematic algorithms for estimating human arm joint positions using wireless sensors during robotic rehabilitation (37 citations), and investigating the synchronization of slow cortical rhythms during motor imagery-based BMI control (23 citations). Ezquerro has also advanced competitive rehabilitation paradigms by studying patients’ physiological responses to robotic-assisted therapies (19 citations) and created an intelligent multimodal framework for human assistive robotics using computer vision (17 citations). His work on tele-rehabilitation versus local robotic therapy (10 citations) and home-based neurorehabilitation systems (9 citations) addresses critical barriers to accessible care. Additionally, he has explored exoskeleton-assisted oxygen consumption in industrial tasks (6 citations), broadening the impact of his research. With over 150 total citations, Ezquerro’s interdisciplinary approach—spanning robotics, neuroscience, and human–machine interaction—positions him at the forefront of developing scalable, patient-centered rehabilitation solutions.
Research Focus
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