Hicham Chababe

Papers

1

Total Citations

16

H-Index

1

About

Hicham Chababe is a researcher in neurorehabilitation and biomechanics, with a focus on developing personalized, technology-driven therapies for individuals with neurological impairments. His work centers on optimizing robotic gait training systems, particularly the Lokomat, to improve motor recovery in post-stroke hemiparetic patients. His most-cited study, a 2017 proof-of-concept investigation, demonstrated how electromyography (EMG) can be used to tailor Lokomat settings to each patient’s unique muscle activation patterns, moving beyond generic protocols toward subject-specific rehabilitation. This approach has the potential to enhance neural plasticity and functional outcomes, bridging the gap between robotic assistance and natural gait. With 16 citations, this work has influenced subsequent studies on adaptive control strategies in exoskeletons. Chababe’s contributions are notable for integrating real-time physiological feedback into clinical robotics, offering a pathway to more effective, individualized therapy. His research is particularly valuable for students and clinicians seeking to understand how wearable sensors and machine learning can transform stroke rehabilitation, making robotic training not just a tool, but a responsive partner in recovery.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Use of electromyography to optimize Lokomat ® settings for subject-specific gait rehabilitation in post-stroke hemiparetic patients: A proof-of-concept study
16 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago