Microwave Reflection-based Bladder State Discrimination with Realistic Pelvic Models: Impact of Urine Conductivity and Volume

Raterink, Alex; Farshkaran, Ali; Porter, Emily

doi:10.1109/imarc49196.2021.9714587

Cited by 4 publications

(2 citation statements)

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“…6 . The effects of this model simplification on accuracy of the simulations was studied in [42] using a single antenna placed in front of the pelvic region at 1 GHz. Based on [42] , reducing the width of the model up to 100 mm has a negligible effect on reflection coefficient calculations.…”

Section: Methodsmentioning

confidence: 99%

“…The effects of this model simplification on accuracy of the simulations was studied in [42] using a single antenna placed in front of the pelvic region at 1 GHz. Based on [42] , reducing the width of the model up to 100 mm has a negligible effect on reflection coefficient calculations. Since the width of the antenna substrate is 30 mm, considering a 35 mm wide region on each side of the antenna results in a negligible difference in reflection coefficient.…”

Section: Methodsmentioning

confidence: 99%

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Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models

Farshkaran¹,

Fry²,

Raterink

et al. 2024

IEEE Open J. Eng. Med. Biol.

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Goal: Urinary incontinence (UI) affects a significant proportion of the population and is associated with negative physical and psychological side-effects. Microwave-based technologies may have the potential to monitor bladder volume, providing a proactive, low-cost and non-invasive tool to support individuals with UI. Methods: Studies to date on microwave bladder monitoring have been limited to highly simplified computational and experimental scenarios. In this work, we study the most realistic models to date (both male and female), which incorporate dielectrically and anatomically representative tissues of the pelvic region. Results: We examine the ability of detecting bladder fullness through both reflection and transmission-based parameters and, for the first time, study the effect of urine permittivity. As a proof-of-concept of bladder state detection, we further investigate reconstructing differential radar images of the bladder with two different volumes of urine. Conclusions: The results indicate that there is strong potential for monitoring and detecting the bladder state using microwave measurements.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%