Feng Pang
Papers
2
Total Citations
67
H-Index
2
About
Feng Pang is a leading researcher in biomedical engineering, specializing in electromyogram (EMG) pattern recognition for advanced prosthetic and rehabilitation robot control. His work addresses the critical challenge of developing intuitive, multi-degree-of-freedom control systems that can seamlessly interpret human movement intent. Pang’s most influential contribution, "Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses" (2019, 52 citations), systematically investigates how real-world variables—such as limb position, electrode shift, and muscle fatigue—degrade prosthetic control accuracy. This foundational study provides essential frameworks for building more robust, clinically viable myoelectric prostheses. Expanding on this, his work on spatio-temporal feature descriptors (2019, 15 citations) introduces novel approaches to characterizing limb movement intent, enhancing the reliability of pattern recognition systems. By tackling the gap between laboratory performance and real-world functionality, Pang’s research directly impacts the development of next-generation assistive technologies. His contributions are vital for researchers and engineers striving to create prosthetics that respond naturally and reliably to user intentions, ultimately improving the quality of life for individuals with limb loss.
Research Focus
Key Achievements
Top Papers
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