Alessandra Bertoldo

Papers

Total Citations

H-Index

About

Alessandra Bertoldo is a researcher working at the dynamic intersection of neurotechnology, brain-machine interfaces (BMIs), and rehabilitation engineering. Her work spans two compelling domains: the development of EEG-based systems for controlling robotic devices, and the application of advanced exoskeleton technology for neurological rehabilitation. Bertoldo's early contributions focused on harnessing neurophysiological signals to enable direct brain-to-machine communication. Her 2010 paper on EEG-based navigation of robotic devices, which has garnered 28 citations, helped lay groundwork for more intuitive and responsive BMI systems — a field with profound implications for individuals with motor disabilities. A follow-up study in 2011 further expanded this framework, reinforcing her commitment to translating neuroscience advances into practical assistive technologies. More recently, Bertoldo has turned her attention to clinical rehabilitation, notably investigating the EksoGT® exoskeleton as a therapeutic tool for Parkinson's disease patients. Her 2022 randomized clinical trial, with 14 citations, provided quantitative evidence supporting robotic-assisted gait training as a meaningful intervention for parkinsonian motor symptoms. Together, her body of work reflects a clear mission: bridging cutting-edge neural engineering with real-world patient care to improve quality of life for those living with neurological conditions.