Sam Epeagba
Papers
1
Total Citations
3
H-Index
1
About
Dr. Sam Epeagba is a pioneering researcher at the intersection of rehabilitation engineering and human-robot interaction, with a primary focus on restoring upper limb function for stroke survivors. His most cited work, "Ultrasound Based Wrist Intent Recognition Method for Robotic-Assisted Stroke Rehabilitation" (2020, 3 citations), introduces a novel approach to decoding patient movement intentions using non-invasive ultrasound imaging. This technique enables robotic rehabilitation systems to respond more intuitively to a user's residual muscle activity, addressing the critical challenge of cost and duration in traditional physical therapy. By leveraging ultrasound to capture deep muscle dynamics, Dr. Epeagba’s method enhances the accuracy and responsiveness of assistive robotics, potentially reducing the need for constant therapist supervision. His contributions are particularly impactful in the context of stroke rehabilitation, where intensive, repetitive practice is essential but often inaccessible. This work represents a significant step toward more autonomous, adaptive rehabilitation technologies that can improve activities of daily living for patients. Dr. Epeagba’s research is foundational for future developments in intent-driven robotic assistance, offering a promising pathway to more effective and scalable stroke recovery interventions.
Research Focus
Key Achievements
Top Papers
- 1