Papers

20

Total Citations

481

H-Index

11

About

Simona Ferrante is a biomedical engineer whose research sits at the intersection of rehabilitation robotics, neuroprosthetics, and assistive technology for individuals with neurological and motor disorders. Her work has made significant contributions to the development of intelligent human-machine interfaces, particularly systems that decode motor intention from electromyographic (EMG) signals to drive robotic and electrical stimulation-based therapies. Ferrante's most influential contribution is her 2016 neural network-based EMG classifier for predicting hand grasp movements (73 citations), which demonstrated that machine learning could enable intuitive, intention-driven control of robotic assistive devices. This work laid groundwork for her leadership in the European RETRAINER project, which produced a hybrid exoskeleton-FES system for stroke arm rehabilitation, garnering nearly 60 citations across multiple publications. She has also pioneered smart home environments for aging populations through the MoveCare project (62 citations), integrating social robots, IoT infrastructure, and frailty monitoring to support independent living in older adults. Across ten highly cited studies, Ferrante consistently bridges engineering innovation with rigorous clinical evaluation, validating her systems with real patient populations. Her research collectively represents a compelling vision of technology-enhanced independence for people living with disability or age-related decline.

Research Focus

Key Achievements

11
H-Index
20
Papers
481
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Artificial neural network EMG classifier for functional hand grasp movements prediction
73 citations · 2016
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 81
🏛 Institutions: Politecnico di Milano, Bioengineering Technology and Systems (Italy)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago