Papers

2

Total Citations

67

H-Index

2

About

Didier Pradon is a leading researcher in biomechanics and neurorehabilitation, with a focus on restoring mobility in individuals with neurological impairments, particularly after stroke. His work centers on the intersection of robotic-assisted gait training and quantitative gait analysis, aiming to optimize rehabilitation protocols through precise biomechanical interventions. Pradon’s major contributions include demonstrating how robotic constraints—such as those applied via the Lokomat® system—can selectively modulate gait kinematics and kinetics in chronic stroke patients. His 2014 study, which has garnered 38 citations, showed that combining a negative constraint on the non-paretic limb with a positive constraint on the paretic limb significantly improved peak knee flexion and overall gait symmetry. Similarly, his 2013 paper (29 citations) compared robotic restraint training to conventional robotic gait training, revealing superior outcomes in key gait parameters. These findings have practical implications for designing targeted, robot-assisted therapies that enhance motor recovery. Pradon’s work is notable for its rigorous biomechanical approach, bridging engineering and clinical rehabilitation to improve walking function in patients with long-term motor deficits.

Research Focus

Key Achievements

2
H-Index
2
Papers
67
Total Citations
34
Avg Citations/Paper
🏆 Most Cited Paper
Effects of gait training using a robotic constraint (Lokomat®) on gait kinematics and kinetics in chronic stroke patients
38 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Université de Versailles Saint-Quentin-en-Yvelines

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago