Sohail Sangha

Simon Fraser University

Papers

2

Total Citations

89

H-Index

2

About

Sohail Sangha is a researcher whose work sits at the critical intersection of rehabilitation robotics and intuitive human-machine interaction. His primary research areas focus on advancing prosthetic control and developing wearable assistive devices, with a particular emphasis on making these technologies more practical and accessible for users. Sangha’s major contributions include pioneering work on combining force myography and surface electromyography with pattern recognition to solve common issues in prosthetic control, as demonstrated in his highly cited 2017 pilot case study (57 citations). This work addresses the fundamental challenge of creating a powerful, user-acceptable interface for advanced multi-degree-of-freedom robotic hands. Additionally, his 2016 paper on a compact robotic orthosis for wrist assistance (32 citations) showcases his talent for engineering cost-effective, modular, and compact solutions with effective torque output. By prototyping dedicated electronic backbones and prioritizing user-centric design, Sangha’s research directly bridges the gap between sophisticated robotic hardware and the real-world needs of individuals requiring assistive technologies, making his work essential reading for students and researchers in biomechatronics and rehabilitation engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
89
Total Citations
45
Avg Citations/Paper
🏆 Most Cited Paper
Toward Intuitive Prosthetic Control: Solving Common Issues Using Force Myography, Surface Electromyography, and Pattern Recognition in a Pilot Case Study
57 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Simon Fraser University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago