H
Hongqi Yu
Researcher at National University of Defense Technology
Publications - 25
Citations - 126
Hongqi Yu is an academic researcher from National University of Defense Technology. The author has contributed to research in topics: Computer science & Signal processing. The author has an hindex of 5, co-authored 18 publications receiving 82 citations. Previous affiliations of Hongqi Yu include University of Defence & University of Strathclyde.
Papers
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Journal ArticleDOI
Artificial neural network approaches for fluorescence lifetime imaging techniques
TL;DR: The advantages of ANN-FLIM were demonstrated on both synthesized and experimental data, showing that it has great potential to fuel current revolutions in rapid FLIM technologies.
Journal ArticleDOI
Fast bi-exponential fluorescence lifetime imaging analysis methods
TL;DR: Compared to conventional FLIM software, the proposed algorithms are noniterative offering direct calculation of lifetimes and therefore suitable for real-time applications, and are applicable to single-channel or 2D multichannel time-correlated single-photon counting (TCSPC) systems.
Journal ArticleDOI
Single-shot time-gated fluorescence lifetime imaging using three-frame images.
Yahui Li,Hui Jia,Shaorong Chen,Jinshou Tian,Lingliang Liang,Fenfang Yuan,Hongqi Yu,David Day-Uei Li +7 more
TL;DR: This is the first work to combine a three-gate rapid lifetime determination (RLD) scheme and a four-channel framing camera to achieve this goal, and different from previously proposed two-gate RLD schemes, TFI-TGFLI can provide a wider lifetime range 0.6 ~ 13ns with reasonable precision.
Proceedings ArticleDOI
The Design and Implementation of a Portable EIT Telemedicine System
TL;DR: A portable electrical impedance tomography telemedicine system which supports field diagnosis and electronic medical record building, which includes portable client endpoint, cloud-based database and central server is proposed.
Journal ArticleDOI
Wide-bandwidth biological impedance spectroscopy system based on the digital lock-in technique
TL;DR: In this paper, the authors presented a novel biological impedance spectroscopy system using an improved digital lock-in technique, which mainly consists of a current source, a voltage detector, a clock generator, and a field-programmable gate array (FPGA) device.