Diklah Geva
Papers
2
Total Citations
34
H-Index
2
About
Diklah Geva is a pioneering researcher in the field of neurorehabilitation robotics, with a focused expertise in developing quantitative assessment tools for upper extremity motor impairments following stroke. Her major contributions center on the creation and validation of the first robotic-based clinical scale for evaluating stroke patients, a breakthrough that bridges the gap between robotic therapy and objective diagnosis. Geva’s landmark 2011 study, cited 24 times, introduced a novel instrument using the ReoGo robotic platform to assess motor impairments with high discriminative power, offering a standardized alternative to subjective clinical scales. Her earlier 2009 work, with 10 citations, established the reliability and validity of robotic scores within the ReoGo Therapy system, demonstrating how robotic metrics can guide personalized rehabilitation. By transforming robotic therapy data into clinically meaningful assessments, Geva has advanced the precision of stroke rehabilitation, enabling therapists to tailor interventions based on quantitative, reproducible measures. Her research is notable for its translational impact, directly influencing how robotic technologies are integrated into clinical practice to improve patient outcomes.
Research Focus
Key Achievements
Top Papers
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