Valentina Garofalo
Papers
2
Total Citations
39
H-Index
2
About
Dr. Valentina Garofalo is a leading researcher in geriatric rehabilitation and assistive robotics, whose work focuses on the intersection of technology and aging. Her primary research areas include robotic balance assessment, fall risk evaluation, and physical performance monitoring in older adults. Dr. Garofalo’s major contributions lie in developing and validating robotic systems—such as the hunova robot—to objectively measure trunk stability and dynamic balance, providing quantitative tools that surpass traditional clinical assessments. Her most-cited paper, "Robotic balance assessment in community-dwelling older people with different grades of impairment of physical performance" (2019, 35 citations), demonstrates how robotic platforms can differentiate impairment levels and guide personalized interventions. Another influential work, "Robotic evaluation of fall risk in older people: Results on trunk parameters in static and dynamic balance conditions by hunova robot" (2018, 4 citations), establishes key parameters for predicting falls. Dr. Garofalo’s research has significant implications for fall prevention and healthy aging, offering clinicians precise, data-driven methods to enhance older adults’ independence and quality of life. Her innovative integration of robotics into geriatric care positions her as a pioneer in this emerging field.
Research Focus
Key Achievements
Top Papers
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