Stephen N. Housley

Georgia State University, Georgia Institute of Technology

Papers

9

Total Citations

96

H-Index

6

About

Stephen N. Housley is a rehabilitation engineer and neuroscientist whose work sits at the intersection of robotics, neurotechnology, and stroke recovery. His research addresses one of the most pressing challenges in rehabilitation medicine: expanding access to effective stroke therapy for underserved populations, particularly rural veterans. Housley's most cited work (42 citations) pioneered home-based robotic rehabilitation systems designed to overcome geographic and logistical barriers that diminish functional outcomes for stroke survivors. This patient-centered philosophy runs throughout his portfolio. Among his most innovative contributions is the development of a Tongue Drive System-based rehabilitation paradigm, which enables individuals with severe upper limb impairment to control robotic exoskeletons using tongue movements — offering a novel pathway to recovery for patients with minimal voluntary muscle control. He has also explored pharmacological adjuncts to rehabilitation, including a double-blind pilot trial of D-Cycloserine targeting NMDA receptor-mediated neuroplasticity. More recently, Housley has incorporated machine learning and EMG-based signal processing into robotic systems to enable intelligent, adaptive therapy. Collectively, his work represents a compelling vision of technology-driven, accessible rehabilitation that meets patients where they are — both physically and clinically.

Research Focus

Key Achievements

6
H-Index
9
Papers
96
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Increasing Access to Cost Effective Home-Based Rehabilitation for Rural Veteran Stroke Survivors.
42 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Georgia State University, Georgia Institute of Technology

Top Papers

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

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago