The development of sensitive and affordable testing devices for infectious diseases is
essential to preserve public health, especially in pandemic scenarios. In this work, we have …

Impedance measurement is a common technique to characterize and detect the electrical
properties of biological cells. However, to decode the underlying physical processes, it …

A data-driven scheme for modeling electrical impedance in biosensors is presented by a
subspace method working with the singular value decomposition of structured voltage and …

Bioimpedance modeling with equivalent electrical circuits has an important role in various
biomedical applications, as it facilitates understanding of underlying physical and …

Parameter estimation of the 2R-1C model is usually performed using iterative methods that
require high-performance processing units. Consequently, there is a strong motivation to …

A hidden Markov model (HMM) comprises a state with Markovian dynamics that is hidden in
the sense that it can only be observed via a noisy sensor. This thesis considers three themes …

2R-1C 模型的参数估计常运用需要高性能处理单元的迭代方法, 从而激励我们研究更省时且更
节能的参数估计方法. 这些低复杂度的算法将更适于便携式微机设备的运行 …

This paper presents an attractive method towards sensing and quantifying the concentration
of dielectric particles suspended in a highly conductive medium. Fast electrical impedance …

In biological objects, purely electronic conductivity is absent, because they are primarily
either dielectrics or solutions of electrolytes (blood, cytoplasm, various tissue fluids). A …