P. Afshar

Carnegie Mellon University

Papers

2

Total Citations

36

H-Index

2

About

P. Afshar is a leading researcher in neural control and robotic rehabilitation, with a focus on decoding the intricate relationship between neural signals and dynamic hand movements. Their pioneering work, particularly the highly cited 2004 study on neural-based control of a robotic hand, introduced a novel technique to predict index finger motion from neuromuscular signals, achieving 24 citations and establishing a foundation for brain-machine interfaces. This research demonstrated distinct muscle strategies underlying finger control, offering critical insights for restoring function in paralyzed hands. In their 2005 follow-up, Afshar explored neuromuscular strategies for dynamic finger movements using a robotic approach, addressing the complex challenge of stimulating existing muscles to achieve full hand function. By bridging engineering and clinical neuroscience, Afshar’s contributions have advanced the development of prosthetic and assistive devices, with their work cited in studies on neural decoding and rehabilitation robotics. Their research remains instrumental for students and scientists seeking to understand how cortical signals and joint dynamics can be harnessed for restoring motor control in paralysis.

Research Focus

Key Achievements

2
H-Index
2
Papers
36
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Neural-based control of a robotic hand: evidence for distinct muscle strategies
24 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago