Zhendong Zhang
Papers
1
Total Citations
8
H-Index
1
About
Zhendong Zhang is a researcher specializing in the intersection of embedded systems, real-time signal processing, and assistive robotics, with a particular focus on intelligent prosthetic control. His work centers on developing hardware-software co-design solutions that enable real-time intent recognition for lower-limb prostheses, bridging the gap between computational efficiency and clinical applicability. His most-cited paper, "A Real-Time Intent Recognition System Based on SoC-FPGA for Robotic Transtibial Prosthesis" (2017), demonstrates a pioneering approach to implementing machine learning algorithms on System-on-Chip Field-Programmable Gate Arrays (SoC-FPGA), achieving low-latency, high-accuracy classification of user locomotion modes. This work has garnered 8 citations, reflecting its foundational role in advancing embedded intelligence for prosthetic devices. Zhang’s contributions are notable for their emphasis on practical, deployable systems that prioritize real-time performance and energy efficiency—critical factors for wearable assistive technologies. His research holds promise for improving the quality of life for individuals with lower-limb amputations, and his innovative use of reconfigurable hardware positions him as a key contributor to the growing field of cyber-physical systems in rehabilitation engineering.
Research Focus
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Top Papers
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