J
Jeehyun Lee
Researcher at Yonsei University
Publications - 33
Citations - 723
Jeehyun Lee is an academic researcher from Yonsei University. The author has contributed to research in topics: Medicine & Electrical impedance tomography. The author has an hindex of 12, co-authored 26 publications receiving 640 citations. Previous affiliations of Jeehyun Lee include Iowa State University.
Papers
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Analysis of a linear fluid-structure interaction problem
TL;DR: In this paper, a divergence-free weak formulation of a Stokes fluid and an elastic structure is presented, and the existence and uniqueness of a weak solution is proved under additional assumptions on the data.
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Frequency-difference electrical impedance tomography (fdEIT): algorithm development and feasibility study.
TL;DR: An improved fdEIT image reconstruction algorithm that properly handles the interplay of conductivity and permittivity upon measured boundary voltage data is proposed and demonstrated by using computer simulations to validate its feasibility in future experimental studies.
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Validation of a multi-frequency electrical impedance tomography (mfEIT) system KHU Mark1: impedance spectroscopy and time-difference imaging.
Tong In Oh,Hwan Koo,Kyung Heon Lee,Sang Min Kim,Jeehyun Lee,Sung Wan Kim,Jin Keun Seo,Eung Je Woo +7 more
TL;DR: It is suggested that multi-frequency time-difference images must be interpreted in terms of relative contrast changes with respect to frequency, primarily due to the limitation of the difference imaging algorithm.
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Frequency-difference EIT (fdEIT) using weighted difference and equivalent homogeneous admittivity: Validation by simulation and tank experiment
TL;DR: This paper establishes an fdEIT image reconstruction algorithm based on a relationship between injection currents at two frequencies and a weighted difference of two corresponding complex voltages, and proposes the concept of an equivalent homogeneous admittivity whose value can be estimated by measuring induced voltages at the third frequency.
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Optimal control of an influenza model with seasonal forcing and age-dependent transmission rates.
TL;DR: The effects of delays in vaccine production, seasonal forcing, and age-dependent transmission rates on the optimal control are examined and some optimal strategies are suggested through numerical simulations.