Hemanth Manjunath

University at Buffalo, State University of New York

Papers

2

Total Citations

28

H-Index

2

About

Hemanth Manjunath is a researcher at the intersection of rehabilitation robotics and human-machine interaction, with a core focus on enhancing patient engagement during physical therapy. His most significant contribution is the development of **MyoTrack**, a real-time system that uses wearable surface electromyography (sEMG) and inertial measurement units (IMUs) to objectively quantify a patient’s level of active participation during robot-assisted rehabilitation. Manjunath’s work is pioneering because it directly addresses a critical challenge in neurorehabilitation: distinguishing between passive, robot-driven movement and active patient effort. By proving that high sEMG activation correlates strongly with high participation, his 2019 paper (24 citations) provides a validated, non-invasive metric for clinicians to tailor therapy intensity. This research has practical implications for improving motor recovery outcomes in stroke and spinal cord injury patients. His work bridges biomechanics and machine learning, offering a scalable solution to make robotic therapy more responsive and patient-centered.

Research Focus

Key Achievements

2
H-Index
2
Papers
28
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
MyoTrack: Realtime Estimation of Subject Participation in Robotic Rehabilitation Using sEMG and IMU
24 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University at Buffalo, State University of New York

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago