Papers
1
Total Citations
52
H-Index
1
About
Ning Ji is a researcher whose work sits at the intersection of biomedical engineering, human-machine interfaces, and neural signal processing, with a particular focus on advancing the reliability of electromyography (EMG)-based prosthetic systems. Ji's most recognized contribution tackles one of the field's most persistent challenges: understanding how multiple simultaneous dynamic factors — such as electrode shift, muscle fatigue, limb position changes, and sweat — collectively degrade the performance of pattern recognition-based prosthetic limbs. This 2019 study, which has garnered 52 citations, represents a meaningful step toward making myoelectric prostheses more robust and clinically viable for amputees in real-world conditions. By systematically investigating these co-existing influences rather than isolating individual variables, Ji's approach more faithfully mirrors the complexity of everyday prosthetic use, offering actionable insights for engineers and clinicians working to bridge the gap between laboratory performance and practical deployment. Ji's contributions resonate strongly within the rehabilitation engineering and assistive technology communities, where improving user experience and functional independence for limb-loss patients remains a central and deeply human-centered mission.
Research Focus
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