Maria Teresa Gatta

Papers

2

Total Citations

15

H-Index

2

About

Maria Teresa Gatta is a leading researcher at the intersection of robotic neurorehabilitation and machine learning, with a focus on restoring motor function in patients with neurological impairments. Her work is pivotal in advancing personalized rehabilitation strategies for stroke survivors and children with cerebral palsy. In her highly cited 2024 study, Gatta demonstrated how integrating machine learning with robotic rehabilitation can predict upper limb motor recovery in stroke patients, offering a data-driven approach to tailor therapy intensity and type. This work has already garnered 10 citations, underscoring its immediate impact. She also authored a key systematic review evaluating the Lokomat® exoskeleton’s effectiveness for gait training in children with cerebral palsy, a study with 5 citations that provides crucial evidence for clinical decision-making. Gatta’s contributions are notable for bridging computational modeling with practical rehabilitation, enabling more precise, outcome-focused interventions. Her research not only advances the science of neurorehabilitation but also holds promise for improving quality of life for patients with motor impairments, making her a vital voice in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Integrating Machine Learning with Robotic Rehabilitation May Support Prediction of Recovery of the Upper Limb Motor Function in Stroke Survivors
10 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 17

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago