Expanding 2D block method in two direction by a new formula in EIT

Zaravi, Saeed; Amirfattahi, Rassoul; Vahdat, Bijan Vosoughi

doi:10.1109/iraniancee.2015.7146196

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The best way to solve this problem is to use regularization techniques [13], which are necessary to obtain a unique solution from an ill-posed EIT problem [14]. Additionally, a regularized solution to the inverse problem improves the reconstructed image quality [15,16]. For these reasons, many regularization methods, such as Tikhonov [17,18], Laplace [19], Total Variation [20], Noser [21], Helmholtz-Type [12], projection error propagation-based [15], have been proposed.…”

Section: Inverse Problemmentioning

confidence: 99%

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Noninvasive Bladder Volume Monitoring Using Bioimpedance

Mosquera¹

2023

Urinary Tract Infections - New Insights

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Due to the electrical conductivity of the urine, several bioimpedance techniques have been considered for bladder volume monitoring. This chapter shows several approaches for bladder volume estimation; among these, Global Impedance (GI), presents a high accuracy in volume estimation. Other proposed approaches are Voltage Change Ratios (VCR), Impedance Ratio Method (IRM), and Focused Impedance Method (FIM), which presents highly sensitive to changes in the conductivity, just like GI. Therefore, these approaches are not suitable for long-term monitoring of the bladder, because the conductivity of urine varies with health status and diet. The proposal FIM-IE presents a low sensibility to the conductivity uncertainty; being a promising technique for long-term monitoring of the bladder and would support the assisted bladder emptying process.

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Section: Inverse Problemmentioning

confidence: 99%

“…Additionally, a regularized solution to the inverse problem improves the reconstructed image quality [15,16]. For these reasons, many regularization methods, such as Tikhonov [17,18], Laplace [19], Total Variation [20], Noser [21], Helmholtz-Type [12], projection error propagation-based [15], have been proposed.…”

Section: Inverse Problemmentioning

confidence: 99%