Clara Genna
Papers
2
Total Citations
16
H-Index
2
About
Clara Genna is a researcher at the intersection of neurorehabilitation and robotics, whose work focuses on developing novel brain-machine interfaces (BMIs) and robotic therapies to restore motor function after neurological injury. Her key research areas include assistive robotics, electromyographic (EMG) control, and sensorimotor integration for upper limb rehabilitation. Genna’s most notable contribution is her pioneering work on an assisted-force-feedback BMI, which demonstrated a new paradigm for upper-limb motor training by enabling fast, proportionally modulated stimulation of proprioceptive and motor pathways. This proof-of-principle case study, while modest in citation count (12), laid foundational groundwork for closed-loop neurorehabilitation systems. She also developed the RehaArm robot, an active-assisted shoulder therapy device controlled via EMG signals, offering a novel approach to post-stroke rehabilitation. Though early in her career, Genna’s work represents a critical step toward integrating robotic assistance with neural feedback, promising more adaptive and effective therapies for patients with motor impairments. Her research continues to influence the design of patient-centered rehabilitation technologies that leverage both kinematic and neurophysiological principles.
Research Focus
Key Achievements
Top Papers
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- 2