Papers

2

Total Citations

17

H-Index

2

About

Ann David is a leading researcher in neurorehabilitation engineering, with a focus on developing sensor-based technologies to restore upper limb function after stroke. Her most impactful contribution is the SITAR system (System for Independent Task-Oriented Assessment and Rehabilitation), introduced in 2017. This innovative, sensor-driven ecosystem enables stroke survivors to perform task-oriented training independently, shifting away from therapist-dependent models. With 15 citations, SITAR has become a foundational reference for autonomous rehabilitation systems. David also tackles the critical challenge of detecting movement intention in severely impaired patients. Her 2024 work systematically investigates detectors for low signal-to-noise ratio EMG signals, aiming to make robot-assisted therapy contingent on voluntary effort—even when muscle activity is minimal. This research is vital for engaging patients with little to no residual movement. Though early in its citation life, this work addresses a key barrier in clinical robotics. David’s contributions bridge engineering and clinical neuroscience, advancing accessible, data-driven rehabilitation tools. Her research empowers patients to take an active role in recovery, promising more effective and scalable neurorehabilitation solutions.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
SITAR: a system for independent task-oriented assessment and rehabilitation
15 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Christian Medical College, Vellore, Indian Institute of Technology Madras

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago