Papers
2
Total Citations
20
H-Index
2
About
Natalia Comino’s research lies at the critical intersection of rehabilitation robotics, biomechatronics, and neural interfaces, with a focused mission to restore mobility for individuals with spinal cord injury (SCI). Her major contributions center on advancing the control of wearable lower-limb exoskeletons through biological signals. In her highly cited 2020 work, she pioneered a direct comparison of intramuscular versus surface electromyography (EMG) recordings for controlling exoskeletons in incomplete SCI rehabilitation, providing foundational evidence that intramuscular signals offer more robust control. Complementing this, her case study on a brain-machine interface (BMI)-controlled exoskeleton demonstrated not only technical feasibility but, critically, high usability and patient acceptance—a vital step toward real-world adoption. With over 20 combined citations for these two cornerstone papers, Comino’s work is shaping how clinicians and engineers design intuitive, patient-responsive assistive devices. Her achievements bridge the gap between complex neural signal processing and practical, user-centered rehabilitation technology, making her a rising voice in the effort to translate robotic exoskeletons from the lab into the daily lives of those with motor impairments.
Research Focus
Key Achievements
Top Papers
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