Hanadi Abbas Jaber

University of Basrah

Papers

3

Total Citations

41

H-Index

3

About

Hanadi Abbas Jaber is a researcher whose work bridges biomedical signal processing and micro-robotics, with a primary focus on advancing human-machine interaction and medical rehabilitation. Her most significant contributions lie in the field of electromyography (EMG) pattern recognition, particularly using High-Density surface EMG (HD-sEMG) signals. In her highly cited 2019 papers, she developed robust feature extraction methods for hand gesture identification, employing SVM classifiers to enhance control of prosthetic devices and rehabilitation robots—work that has collectively garnered over 38 citations and demonstrates clear impact in neurorehabilitation technology. More recently, Jaber has ventured into the emerging area of micro-robotics, with a 2021 study exploring sperm-based autonomous micro-motors to address male infertility, representing an innovative first step toward controllable biological micro-systems. Her research portfolio showcases a compelling trajectory from improving prosthetic control through sophisticated signal processing to pioneering bio-hybrid micro-robots, reflecting a commitment to translating engineering solutions into tangible medical advances. Jaber’s work serves as an inspiring example of how interdisciplinary research can tackle complex challenges in healthcare and assistive technology.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Robust hand gesture identification using envelope of HD-sEMG signal
19 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Basrah

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago