A parametric model for the changes in the complex valued conductivity of a lung during tidal breathing

Nordebo, Sven; Dalarsson, Mariana; Khodadad, Davood; Müller, Beat; Waldmann, Andreas D.; Becher, Tobias; Frerichs, Inéz; Sophocleous, Louiza; Sjöberg, Daniel; Seifnaraghi, Nima; Bayford, Richard

doi:10.1088/1361-6463/aabc04

Cited by 6 publications

(7 citation statements)

References 30 publications

(84 reference statements)

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“…The improvements achieved by implementing multifrequencies has been demonstrated on different phantoms [26] and in human subjects [27]. It has been shown that even the permittivity changes become significant at certain frequencies [28].…”

Section: ∇ ( ( )∇ ( )) =mentioning

confidence: 99%

“…Due to this constraint the validation of the proposed approach was restricted to single frequency mode (200 kHz). Considering the frequency used is below the MHz band, based on simulations done in [28], the real parts of the measurements were used to demonstrate that the proposed approach is effective even with the aforementioned hardware limitations. After the estimated conductivity distribution is computed, the next step involves finding which of the pre-defined models in the model library could best describe the achieved solution.…”

Section: ∇ ( ( )∇ ( )) =mentioning

confidence: 99%

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Model Selection Based Algorithm in Neonatal Chest EIT

Seifnaraghi

Gelidi

Nordebo

et al. 2021

IEEE Trans. Biomed. Eng.

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Section: ∇ ( ( )∇ ( )) =mentioning

confidence: 99%

Section: ∇ ( ( )∇ ( )) =mentioning

confidence: 99%

Model Selection Based Algorithm in Neonatal Chest EIT

Seifnaraghi

Gelidi

Nordebo

et al. 2021

IEEE Trans. Biomed. Eng.

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“…In this work, we aim to reconstruct a crack in an area sensor painted atop a reinforced concrete beam element. For this, we utilize ERT, which is a diffusive imaging modality where we aim to reconstruct the electrical conductivity σ from electric potential measurements V [44,45]. The resulting observation model for this problem is written as…”

Section: Damage Invisibility In Ertmentioning

confidence: 99%

Invisibility and indistinguishability in structural damage tomography

Smyl

Liu

2019

Meas. Sci. Technol.

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Structural damage tomography (SDT) uses full-field or distributed measurements collected from sensors or self-sensing materials to reconstruct quantitative images of potential damage in structures, such as civil structures, automobiles, aircraft, etc. In approximately the past ten years, SDT has increased in popularity due to significant gains in computing power, improvements in sensor quality, and increases in measurement device sensitivity. Nonetheless, from a mathematical standpoint, SDT remains challenging because the reconstruction problems are usually nonlinear and ill-posed. Inasmuch, the ability to reliably reconstruct or detect damage using SDT is seldom guaranteed due to factors such as noise, modeling errors, low sensor quality, and more. As such, damage processes may be rendered invisible due to data indistinguishability. In this paper we identify and address key physical, mathematical, and practical factors that may result in invisible structural damage. Demonstrations of damage invisibility and data indistinguishability in SDT are provided using experimental data generated from a damaged reinforced concrete beam.

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“…It is emphasised that this approach is non-parametric in the sense that no statistical assumptions have been made on the population distributions from which the data are drawn. To this end, the non-parametric gold standard constitutes a generic approach which is currently under development and is expected to be useful in many other EIT related issues and investigations where breath delineation and tidal breathing is of great importance, see e.g., [26].…”

Section: Accepted Manuscriptmentioning

confidence: 99%