Nasim Alnuman
Papers
2
Total Citations
12
H-Index
2
About
Dr. Nasim Alnuman is a leading researcher in biomedical engineering, specializing in the intersection of neuromuscular signal processing and advanced prosthetic control. Her primary research areas include surface electromyography (sEMG) analysis, hand kinematics estimation, and the development of intuitive control systems for high-degree-of-freedom robotic hands. Dr. Alnuman’s major contributions lie in pioneering continuous, non-invasive methods for decoding complex hand and finger movements from muscle signals. Her seminal work, “An ensemble-based regression approach for continuous estimation of wrist and fingers movements from surface electromyography” (2016, 7 citations), introduced a robust framework for real-time control of dexterous prosthetics. Complementing this, her study on “Continuous estimation of hand’s joint angles from sEMG using wavelet-based features and SVR” (2016, 5 citations) demonstrated how advanced feature extraction and support vector regression can accurately predict joint angles, significantly enhancing the natural mimicry of human hand function. These contributions are vital for improving the quality of life for amputees, offering a pathway to more fluid and responsive robotic hands. Dr. Alnuman’s work is highly regarded for bridging the gap between raw biological signals and practical, high-fidelity prosthetic control.
Research Focus
Key Achievements
Top Papers
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