Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance
Abstract Monitoring fluid intake and output for congestive heart failure (CHF) patients is an essential tool to prevent fluid overload, a principal cause of hospital admissions. Addressing this, bladder volume measurement systems utilizing bioimpedance and electrical impedance tomography have been p...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01441-4 |
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| author | H. Trask Crane John A. Berkebile Samer Mabrouk Nicholas Riccardelli Omer T. Inan |
| author_facet | H. Trask Crane John A. Berkebile Samer Mabrouk Nicholas Riccardelli Omer T. Inan |
| author_sort | H. Trask Crane |
| collection | DOAJ |
| description | Abstract Monitoring fluid intake and output for congestive heart failure (CHF) patients is an essential tool to prevent fluid overload, a principal cause of hospital admissions. Addressing this, bladder volume measurement systems utilizing bioimpedance and electrical impedance tomography have been proposed, with limited exploration of continuous monitoring within a wearable design. Advancing this format, we developed a conductivity digital twin from radiological data, where we performed exhaustive simulations to optimize electrode sensitivity on an individual basis. Our optimized placement demonstrated an efficient proof-of-concept volume estimation that required as few as seven measurement frames while maintaining low errors (CI 95% −1.11% to 1.00%) for volumes ≥100 mL. Additionally, we quantify the impact of ascites, a common confounding condition in CHF, on the bioimpedance signal. By improving monitoring technology, we aim to reduce CHF mortality by empowering patients and clinicians with a more thorough understanding of fluid status. |
| format | Article |
| id | doaj-art-c960de284a234bbb95050703ccfa2a7f |
| institution | Kabale University |
| issn | 2398-6352 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Digital Medicine |
| spelling | doaj-art-c960de284a234bbb95050703ccfa2a7f2025-02-02T12:43:47ZengNature Portfolionpj Digital Medicine2398-63522025-01-018111110.1038/s41746-025-01441-4Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedanceH. Trask Crane0John A. Berkebile1Samer Mabrouk2Nicholas Riccardelli3Omer T. Inan4School of Electrical and Computer Engineering, Georgia Institute of TechnologySchool of Electrical and Computer Engineering, Georgia Institute of TechnologySchool of Electrical and Computer Engineering, Georgia Institute of TechnologyUrology and Critical Care, BDSchool of Electrical and Computer Engineering, Georgia Institute of TechnologyAbstract Monitoring fluid intake and output for congestive heart failure (CHF) patients is an essential tool to prevent fluid overload, a principal cause of hospital admissions. Addressing this, bladder volume measurement systems utilizing bioimpedance and electrical impedance tomography have been proposed, with limited exploration of continuous monitoring within a wearable design. Advancing this format, we developed a conductivity digital twin from radiological data, where we performed exhaustive simulations to optimize electrode sensitivity on an individual basis. Our optimized placement demonstrated an efficient proof-of-concept volume estimation that required as few as seven measurement frames while maintaining low errors (CI 95% −1.11% to 1.00%) for volumes ≥100 mL. Additionally, we quantify the impact of ascites, a common confounding condition in CHF, on the bioimpedance signal. By improving monitoring technology, we aim to reduce CHF mortality by empowering patients and clinicians with a more thorough understanding of fluid status.https://doi.org/10.1038/s41746-025-01441-4 |
| spellingShingle | H. Trask Crane John A. Berkebile Samer Mabrouk Nicholas Riccardelli Omer T. Inan Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance npj Digital Medicine |
| title | Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| title_full | Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| title_fullStr | Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| title_full_unstemmed | Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| title_short | Digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| title_sort | digital twin driven electrode optimization for wearable bladder monitoring via bioimpedance |
| url | https://doi.org/10.1038/s41746-025-01441-4 |
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