Zachary Hernandez

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About

Zachary Hernandez is a leading researcher in neurorehabilitation, specializing in brain-machine interfaces (BMI) and motor recovery following stroke. His work focuses on leveraging scalp EEG to drive robotic exoskeletons, promoting cortical plasticity and restoring upper-limb function in chronic stroke survivors. Hernandez’s most cited paper (2020, 70 citations) provides critical evidence that BMI-enabled robotic training can modulate neural activity and enhance motor recovery, a finding that bridges fundamental neuroscience with clinical application. His subsequent clinical trial (2020) further validates these mechanisms, demonstrating measurable improvements in patient outcomes. By quantifying both electrophysiological changes and functional gains, Hernandez has established a framework for translating EEG-based BMI systems into practical rehabilitation tools. His contributions are pivotal for developing non-invasive, scalable therapies that harness neuroplasticity, offering new hope for individuals with severe motor impairments. With a growing citation impact and a focus on rigorous clinical validation, Hernandez is shaping the future of assistive neurotechnology and personalized stroke rehabilitation.