Oscar Moroni Moosman

University of Auckland

Papers

1

Total Citations

10

H-Index

1

About

Oscar Moroni Moosman is a researcher at the intersection of rehabilitation robotics and biomedical signal processing, with a primary focus on developing intelligent systems for upper-limb motor recovery. His most impactful work, a pilot study on a biological signal-based evaluator for robot-assisted rehabilitation, has garnered 10 citations and represents a foundational step toward integrating real-time physiological feedback into therapeutic robotics. This contribution addresses a critical gap in rehabilitation technology: the need for objective, patient-specific assessment tools that can adapt to individual recovery trajectories. By leveraging biological signals, Moosman’s approach enables more responsive and personalized robotic therapy, potentially improving outcomes for stroke survivors and individuals with neuromuscular impairments. His research bridges engineering and clinical practice, emphasizing the translation of signal processing algorithms into tangible rehabilitation tools. While his citation count reflects the early-stage nature of his work, the conceptual novelty of his evaluator positions him as a promising voice in the field. Moosman’s ongoing efforts continue to explore how human-robot interaction can be refined through physiological monitoring, aiming to make rehabilitation more effective and accessible.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Development of a biological signal-based evaluator for robot-assisted upper-limb rehabilitation: a pilot study
10 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Auckland

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago