Papers

3

Total Citations

246

H-Index

3

About

David Gasq is a leading researcher in stroke rehabilitation, with a particular focus on the integration of robotic technologies to restore motor function. His work bridges the critical gap between empirical rehabilitation methods and evidence-based, technology-driven interventions. Gasq’s most influential contribution is his landmark meta-analysis on the effects of robotic gait training after stroke, which has garnered 173 citations and provides a definitive synthesis of the efficacy of these interventions. He has also made significant strides in upper-limb rehabilitation, notably through his work with the ArmeoSpring exoskeleton, where he established key kinematic parameters for reliable assessment and identified learning effects that guide clinical use. Beyond these technical contributions, Gasq has shaped the theoretical landscape of the field, authoring a highly cited review on the evolution of post-stroke hemiplegia rehabilitation concepts. His research consistently demonstrates a commitment to translating complex biomechanical data into practical, patient-centered therapeutic strategies, making him a pivotal figure for students and clinicians seeking to understand the future of neurorehabilitation.

Research Focus

Key Achievements

3
H-Index
3
Papers
246
Total Citations
82
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robotic gait training after stroke: A meta-analysis
173 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Inserm, Hôpital Purpan, Université Toulouse III - Paul Sabatier

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago