Giada Devittori

ETH Zurich, École Polytechnique Fédérale de Lausanne

Papers

6

Total Citations

59

H-Index

5

About

Giada Devittori is a leading researcher in neurorehabilitation engineering, focusing on unsupervised robot-assisted therapy for upper limb recovery after stroke. Her work addresses a critical clinical challenge: increasing therapy dose without overburdening healthcare systems. Devittori’s major contributions include demonstrating the feasibility and user acceptance of unsupervised robotic rehabilitation, with her 2024 study showing that patients can safely and effectively use robotic devices without direct therapist supervision, achieving high therapy doses. She has also pioneered adaptive therapy algorithms that automatically personalize treatment parameters in real-time, as shown in her 2022 pilot study. Her innovative online method for monitoring hand muscle tone during robotic therapy (2023) enables safe, responsive rehabilitation in unsupervised settings. Devittori designed and characterized a portable robotic hand orthosis for home use, validated through usability testing. Her research has accumulated over 59 citations, with her most-cited paper (21 citations) establishing the clinical viability of unsupervised therapy. She also developed a mixed-method approach to identify patient needs for assistive technology, ensuring user-centered design. Devittori’s work is pivotal in making high-dose, cost-effective rehabilitation accessible, bridging the gap between supervised clinical care and independent home therapy for stroke survivors.

Research Focus

Key Achievements

5
H-Index
6
Papers
59
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Unsupervised robot-assisted rehabilitation after stroke: feasibility, effect on therapy dose, and user experience
21 citations · 2024
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: ETH Zurich, École Polytechnique Fédérale de Lausanne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago