Daniel Bourbonnais
Papers
2
Total Citations
27
H-Index
2
About
Daniel Bourbonnais is a leading researcher in the field of rehabilitation robotics and neurorehabilitation, with a specific focus on wearable exoskeleton technology for individuals with spinal cord injuries. His work centers on understanding how robotic exoskeleton control modes influence neuromuscular coordination, particularly through the analysis of muscle synergies during overground walking. Bourbonnais’s major contributions include demonstrating that different exoskeleton control strategies—such as predefined joint trajectories versus adaptive assistance—can significantly alter lower limb muscle activation patterns. His 2020 study on adults with chronic incomplete spinal cord injury (19 citations) provided critical evidence that exoskeleton control mode selection directly impacts motor recovery potential, while his exploratory work with able-bodied adults (8 citations) established foundational insights for optimizing human-robot interaction. By bridging biomechanics and assistive technology, Bourbonnais’s research informs the design of more effective, patient-specific rehabilitation protocols. His findings are increasingly cited in the development of next-generation exoskeletons that prioritize natural movement patterns, making his work essential for engineers and clinicians aiming to restore walking function after neurological injury.
Research Focus
Key Achievements
Top Papers
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