Papers
9
Total Citations
129
H-Index
5
About
Yosra Cherni is a rehabilitation researcher whose work sits at the intersection of robotic-assisted gait training, neuromuscular biomechanics, and pediatric rehabilitation. Her research has made significant contributions to understanding how robotic exoskeleton systems — particularly the Lokomat — can be optimized to improve walking outcomes in vulnerable populations, including children and adolescents with cerebral palsy and post-stroke patients. Cherni's most cited work, a 2020 study on low-dose robotic gait training in young patients with cerebral palsy (47 citations), demonstrated meaningful gains in walking capacity, while her 2021 investigation into body weight support and guidance force settings (34 citations) shed important light on how Lokomat parameters shape muscle synergy patterns during therapy. Her 2022 narrative review (17 citations) further consolidated the field's understanding of optimal training parameters for pediatric rehabilitation. Across her body of work, Cherni has consistently pushed toward subject-specific, data-driven rehabilitation protocols — notably using electromyography to fine-tune device settings — and has brought rigorous biomechanical analysis to questions of joint kinematics and inter-joint coordination during robotic-assisted walking. With over 125 cumulative citations, her research meaningfully advances evidence-based gait rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 5Muscle coordination during robotic assisted walking using Lokomat5 citations · 2019
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