Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models
<italic>Goal:</italic> 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...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/10221703/ |
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| author | Ali Farshkaran Andrew Fry Alex Raterink Adam Santorelli Emily Porter |
| author_facet | Ali Farshkaran Andrew Fry Alex Raterink Adam Santorelli Emily Porter |
| author_sort | Ali Farshkaran |
| collection | DOAJ |
| description | <italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> The results indicate that there is strong potential for monitoring and detecting the bladder state using microwave measurements. |
| format | Article |
| id | doaj-art-15e283e373ef45d2af9120a463cfe6a0 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-15e283e373ef45d2af9120a463cfe6a02025-01-30T00:03:36ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01514014710.1109/OJEMB.2023.330583810221703Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic ModelsAli Farshkaran0https://orcid.org/0000-0002-6602-9477Andrew Fry1https://orcid.org/0009-0006-1233-7454Alex Raterink2https://orcid.org/0000-0003-1974-4918Adam Santorelli3https://orcid.org/0000-0002-8951-4619Emily Porter4https://orcid.org/0000-0002-7787-3139Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USADepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USADepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USADepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USADepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA<italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> The results indicate that there is strong potential for monitoring and detecting the bladder state using microwave measurements.https://ieeexplore.ieee.org/document/10221703/Bladder statemicrowave detectionpelvic region modelurinary incontinence |
| spellingShingle | Ali Farshkaran Andrew Fry Alex Raterink Adam Santorelli Emily Porter Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models IEEE Open Journal of Engineering in Medicine and Biology Bladder state microwave detection pelvic region model urinary incontinence |
| title | Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models |
| title_full | Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models |
| title_fullStr | Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models |
| title_full_unstemmed | Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models |
| title_short | Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models |
| title_sort | proof of concept of microwave based bladder state detection using realistic pelvic models |
| topic | Bladder state microwave detection pelvic region model urinary incontinence |
| url | https://ieeexplore.ieee.org/document/10221703/ |
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