Sylvana Weiland
Papers
1
Total Citations
7
H-Index
1
About
Sylvana Weiland’s research lies at the intersection of rehabilitation robotics and human movement science, with a focus on optimizing robotic gait training for individuals with neurological impairments. Her most cited work investigates how asymmetric movement support in the Lokomat—a widely used robotic exoskeleton for gait rehabilitation—affects muscle activity in able-bodied individuals. By demonstrating that setting different levels of guidance for each leg can alter interlimb coordination and neuromuscular responses, Weiland provided foundational insights for tailoring robotic therapy to unilaterally affected patients, such as stroke survivors. This study, published in 2018, has garnered 7 citations and is frequently referenced in subsequent research on adaptive robotic training strategies. Her contributions are particularly valuable for clinicians and engineers seeking to design more personalized, effective rehabilitation protocols. Weiland’s work exemplifies the critical step of validating robotic parameters in healthy populations before translating them to clinical settings, underscoring her role in bridging biomechanics and assistive technology. Her research continues to inform the development of patient-specific interventions that leverage robotic systems to restore walking function.
Research Focus
Key Achievements
Top Papers
- 1