Dilora Abdurakhimova

Tashkent State University of Economics

Papers

1

Total Citations

4

H-Index

1

About

Dilora Abdurakhimova is a researcher at the intersection of wearable sensor technology, medical robotics, and biomedical signal processing. Her work focuses on developing innovative methods for fatigue assessment using electromyography (EMG) signal analysis, with applications in both clinical rehabilitation and human-robot interaction. Her most-cited paper, "Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing" (2024), has garnered 4 citations, highlighting its early impact in the field. Abdurakhimova's contributions are particularly notable for integrating real-time EMG processing with robotic systems, enabling more responsive and adaptive assistive devices. This work holds promise for improving patient outcomes in physical therapy and occupational health, where fatigue monitoring is critical. Her research represents a growing trend toward non-invasive, sensor-driven solutions in healthcare robotics, positioning her as an emerging voice in this rapidly evolving domain.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Wearable sensor technology and medical robotics for fatigue assessment using electromyography signal processing
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Tashkent State University of Economics

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 20 days ago