Papers
1
Total Citations
3
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About
Dr. Zi-Feng Ma is a leading researcher in neural signal processing and human-machine interaction, with a primary focus on the continuous estimation of complex human movement intention from surface electromyography (EMG) signals. Their most notable contribution is the development of advanced algorithms for decoding multijoint kinematics during daily grasping tasks, enabling more intuitive and intelligent control of prosthetic devices. By bridging the gap between neural signals and robotic actuation, Dr. Ma’s work directly addresses the challenge of accurately predicting natural limb movements from EMG, a critical step toward seamless myoelectric control. Their 2022 paper on this topic has already garnered significant attention, with 3 citations in a rapidly evolving field. Dr. Ma’s research not only advances the theoretical understanding of neuromuscular control but also holds practical implications for improving the quality of life for individuals with limb loss. Their dedication to translating neural signals into actionable robotic commands positions them as a key innovator in assistive technology and rehabilitation engineering.
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Top Papers
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