Papers
3
Total Citations
24
H-Index
3
About
Alvaro Megia is a researcher at the forefront of neurorehabilitation engineering, specializing in the integration of brain-machine interfaces (BMI) and wearable robotics for individuals with spinal cord injury (SCI). His work focuses on restoring lower-limb function and enhancing the quality of life for patients with incomplete SCI. Megia’s major contributions include pioneering the comparison of intramuscular and surface electromyography (EMG) recordings for controlling wearable robots, a study that has garnered 11 citations and provides critical insights into optimizing robotic control for rehabilitation. He has also advanced the field by evaluating the usability and acceptance of BMI-controlled lower-limb exoskeletons, demonstrating in a case study (9 citations) that such systems are both feasible and well-received by patients. His 2022 work on assessing user experience with BMI-assisted exoskeletons (4 citations) further underscores his commitment to patient-centered design. Megia’s research bridges the gap between cutting-edge neural interfaces and practical rehabilitation tools, offering hope for more effective, personalized therapy. His findings are pivotal for developing intuitive, user-friendly robotic systems that can transform recovery outcomes for SCI patients worldwide.
Research Focus
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Top Papers
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