Luis Garcia-Fernandez
Papers
3
Total Citations
8
H-Index
2
About
Luis Garcia-Fernandez is a pioneering researcher in neurorehabilitation engineering, whose work bridges the gap between accessible technology and precise sensorimotor assessment. His primary research areas include stroke rehabilitation, proprioceptive evaluation, and robotic therapy, with a particular focus on upper extremity function. Garcia-Fernandez's most impactful contribution is the development of "OpenPoint," a webcam-based method for quantifying upper extremity proprioception that eliminates the need for expensive, specialized equipment. This innovation, detailed in his 2024 paper (5 citations), automates classic neurological assessments and offers a practical solution for evaluating proprioceptive deficits in conditions like stroke. He has further advanced the field by exploring variants of active assist robotic therapy, demonstrating that virtual assistance and targeted proprioceptive training can enhance patient motivation and success during finger movement rehabilitation (2025, 2 citations). Notably, Garcia-Fernandez developed a novel robotic technique specifically for assessing thumb proprioception, which he showed predicts hand function after stroke—a significant achievement given the thumb's critical role in human dexterity (2025, 1 citation). His work is characterized by a commitment to creating pragmatic, scalable solutions that translate complex neurological assessments into clinically accessible tools.
Research Focus
Key Achievements
Top Papers
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