Fernando Trincado-Alonso

Papers

Total Citations

162

H-Index

About

Fernando Trincado-Alonso is a leading researcher in neurorobotics and rehabilitation engineering, specializing in brain-machine interfaces (BMI) and wearable exoskeletons for spinal cord injury (SCI) recovery. His most impactful work, “Control of an Ambulatory Exoskeleton with a Brain–Machine Interface for Spinal Cord Injury Gait Rehabilitation” (128 citations), pioneered closed-loop neural control of lower-limb exoskeletons, enabling patients with paralysis to drive robotic gait training directly from brain signals. This breakthrough demonstrated that BMI can provide a natural, volitional control method, significantly enhancing motor recovery. He further advanced adaptive rehabilitation with “Volition-adaptive control for gait training using wearable exoskeleton” (30 citations), which introduced user-specific, intention-driven assistance for incomplete SCI individuals, tailoring support based on real-time interaction. His contributions extend to analyzing muscle activity and coordination during robot-assisted walking with the H2 exoskeleton, revealing how robotic assistance alters neuromuscular patterns. Trincado-Alonso’s work bridges neuroengineering and clinical rehabilitation, offering concrete pathways to restore mobility. With over 160 total citations, his research is foundational for next-generation, patient-responsive assistive technologies, positioning him as a key figure in translating neural interfaces into practical gait rehabilitation tools.