Daisy Tong

University of Southampton

Papers

2

Total Citations

97

H-Index

2

About

Daisy Tong is a leading researcher in neurorehabilitation engineering, specializing in the development of advanced technologies to restore motor function after stroke. Her primary research areas include functional electrical stimulation (FES), robotic rehabilitation, and iterative learning control (ILC). Tong’s most significant contribution is the creation of the SAIL (Stimulation Assistance through Iterative Learning) system, which synergistically combines robotic therapy with precisely controlled electrical stimulation to support patients’ voluntary movement during upper limb rehabilitation. Her landmark 2012 paper, with 92 citations, demonstrated that this integrated approach significantly reduces motor impairment in chronic stroke survivors, marking a major advance over conventional therapies. By employing model-based ILC algorithms, Tong’s work enables real-time, adaptive stimulation that aligns with each patient’s effort—a breakthrough that overcomes limitations of earlier systems. Her research has been instrumental in shifting stroke rehabilitation toward more personalized, technology-driven interventions. Tong’s innovative fusion of robotics and neurostimulation continues to influence both clinical practice and the design of next-generation rehabilitation devices, making her a pivotal figure in the field.

Research Focus

Key Achievements

2
H-Index
2
Papers
97
Total Citations
49
Avg Citations/Paper
🏆 Most Cited Paper
Functional electrical stimulation mediated by iterative learning control and 3D robotics reduces motor impairment in chronic stroke
92 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Southampton

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago