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About

Juan A. Barios is a leading researcher at the intersection of neurorehabilitation, robotics, and brain-computer interfaces (BCIs). His work focuses on developing intelligent systems that restore upper-limb mobility for stroke survivors and individuals with motor disabilities. Barios’s major contributions include pioneering algorithms for reconstructing human arm joint kinematics during end-effector robot-assisted therapy—a breakthrough that enables precise kinematic estimation without direct joint measurement (52 citations). He has also advanced the understanding of slow cortical rhythm synchronization during motor imagery-based BCI control, revealing how these slower brain oscillations interact with sensorimotor rhythms to improve BCI performance (23 citations). Notably, Barios has championed home-based neurorehabilitation, demonstrating the feasibility of intelligent robotic systems for unsupervised upper-extremity assessment and patient-centered care. His work on integrating BCIs with hand exoskeletons has explored real-time performance and heart rate variability, addressing workload and stress in practical applications. With recent studies evaluating longitudinal EEG changes in stroke rehabilitation dynamics, Barios continues to push the boundaries of accessible, personalized neurorehabilitation, bridging the gap between hospital therapy and home recovery.