Virginia Bandini
Papers
1
Total Citations
25
H-Index
1
About
Virginia Bandini’s research sits at the intersection of neurorehabilitation and biomedical signal processing, with a primary focus on developing quantitative tools to assess and improve motor recovery after stroke. Her most cited work introduces a surface-electromyography-based co-contraction index, a novel metric that captures the pathological muscle co-contraction impairing upper limb function in post-stroke patients. Through a pilot randomized controlled trial, she demonstrated how this index can objectively monitor rehabilitation progress, offering clinicians a more sensitive outcome measure than traditional clinical scales. With 25 citations on this key paper alone, Bandini’s contributions are shaping how researchers and therapists evaluate motor strategies in stroke survivors. Her work addresses a critical gap: the need for instrumental, data-driven assessments that reflect real-world functional gains. By translating complex neuromuscular signals into actionable clinical insights, Bandini is helping to personalize rehabilitation protocols and improve quality of life for individuals with neurological impairments. Her research exemplifies how engineering approaches can deepen our understanding of human movement and recovery.
Research Focus
Key Achievements
Top Papers
- 1