Fangke Wu

ORCID: 0000-0001-9967-8652
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About
Contact & Profiles
Research Areas
  • Embedded Systems and FPGA Design
  • Advanced MEMS and NEMS Technologies
  • Sensor Technology and Measurement Systems
  • Non-Invasive Vital Sign Monitoring
  • Neural dynamics and brain function
  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing

Peking University
2024

National Engineering Research Center of Electromagnetic Radiation Control Materials
2023

University of Electronic Science and Technology of China
2023

The study of neuron interactions and hardware implementations are crucial research directions in neuroscience, particularly developing large-scale biological neural networks. FitzHugh-Nagumo (FHN) model is a popular with highly plausibility, but its complexity makes it difficult to apply at scale. This paper presents cost-saving improved precision approximation algorithm for the digital implementation FHN model. By converting computational data into floating-point numbers, original...

10.1109/tbcas.2023.3327496 article EN IEEE Transactions on Biomedical Circuits and Systems 2023-10-25

In recent years, pulse signals have become increasingly important in healthcare, such as cardiovascular disease diagnosis. However, there exists no commonly acknowledged sensing system that simultaneously features stability, accuracy, convenience, and cost efficiency. To address this problem, we present a novel for human health assessment. The consists of T-structured sensor, circuit system, host. Specifically, our sensor has higher signal-to-noise ratio compared with similar sensors can be...

10.1109/jsen.2024.3399817 article EN IEEE Sensors Journal 2024-05-17

10.1109/biocas61083.2024.10798253 article EN 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2024-10-24
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