Papers

4

Total Citations

93

H-Index

4

About

Nicolas Bayle is a leading researcher in neurorehabilitation, specializing in the recovery of upper limb function after stroke. His work focuses on understanding how robot-assisted training can drive motor recovery, particularly in patients with hemiparesis. Bayle’s major contributions include demonstrating that a three-month program of robotic therapy can produce measurable improvements in upper limb pointing kinematics, with his 2017 study (41 citations) providing key evidence for the pattern of motor recovery. He has also shown that these kinematic gains can be sustained four years post-rehabilitation (16 citations), challenging assumptions about long-term motor decline. Bayle has advanced the field by using robot-based variables to precisely quantify treatment dose (13 citations), moving beyond subjective clinical scales to objective, data-driven metrics. His work on the role of intensity in motor rehabilitation for spastic paresis (23 citations) further underscores his impact. By integrating kinematic analysis with clinical outcomes, Bayle has helped establish a framework for personalized, technology-driven stroke rehabilitation, making his research essential reading for clinicians and engineers developing next-generation neurorehabilitation tools.

Research Focus

Key Achievements

4
H-Index
4
Papers
93
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Pattern of improvement in upper limb pointing task kinematics after a 3-month training program with robotic assistance in stroke
41 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hôpitaux Universitaires Henri-Mondor, Université Paris-Est Créteil

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago