Jane Burridge

University of Southampton

Papers

17

Total Citations

977

H-Index

11

About

Jane Burridge is a pioneering researcher in neurorehabilitation engineering, with a particular focus on stroke recovery and upper limb motor restoration. Her work sits at the intersection of control systems, robotics, and clinical neuroscience, making her a distinctive voice in rehabilitative medicine. Burridge is best known for her groundbreaking research applying iterative learning control (ILC) to functional electrical stimulation (FES) and robotic-assisted therapy for stroke survivors — an area where her 2012 paper has accumulated 245 citations and remains a landmark reference for researchers worldwide. Her early work establishing the feasibility of ILC-mediated FES for reaching tasks (2009, 106 citations) helped lay the clinical and technological foundations for an entire subfield. Beyond engineering innovation, Burridge has demonstrated a commitment to patient-centred research, exploring stroke survivors' perceptions of robotic and electrical stimulation therapies to ensure technologies are designed with real-world usability in mind. Her contributions extend to international collaborative efforts, including a European Delphi consensus study on evaluating neurorehabilitation technologies. With over 900 cumulative citations across her most influential works, Burridge has profoundly shaped how advanced technologies are translated into meaningful clinical practice for the millions living with stroke-related disability.

Research Focus

Key Achievements

11
H-Index
17
Papers
977
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
Iterative Learning Control in Health Care: Electrical Stimulation and Robotic-Assisted Upper-Limb Stroke Rehabilitation
245 citations · 2012
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: University of Southampton

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago