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About

Claudio Perret is a leading researcher in neurorehabilitation engineering, with a focus on cardiopulmonary assessment and training for individuals with spinal cord injury (SCI). His work centers on integrating robotic-assistive technologies with precise physiological monitoring to enable early, safe, and effective rehabilitation. Perret’s major contributions include pioneering the use of work-rate-driven exercise protocols during robot-assisted gait, demonstrating that controlled metabolic demand can facilitate both cardiopulmonary training and functional assessment in incomplete SCI patients. His 2007 paper on this topic has garnered 32 citations, establishing a foundational method for combining robotics with exercise physiology. He further advanced this approach by developing volitional feedback control systems for active work rate estimation (2008, 24 citations) and extending the concept to robotics-assisted tilt-tables for patients unable to stand (2014, 18 citations). This latter work is particularly notable for enabling rehabilitation therapy to begin immediately after injury, mitigating secondary complications of prolonged bed rest. Perret’s research bridges the gap between assistive robotics and clinical exercise science, providing practical tools for improving cardiovascular health and functional outcomes in SCI populations.