Investigation of Bladder Volume Measurement Based on Fringe Effect of Electrical Impedance Tomography Sensors

Liu, Kangqi; Bai, Xu; Wei, Jinzhao; Liang, Xiaofeng; Sun, Jiangtao; Xu, Lijun

doi:10.1109/ojim.2022.3196739

Cited by 5 publications

(2 citation statements)

References 29 publications

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“…Thus, in this work, we propose novel BI features to study BV-related information, as shown in Table 2 . Given that urine conducts electricity, the impedance value across the bladder is expected to decrease with urine production [ 38 ]. We confirmed such a phenomenon in our previous study with 30 pediatric patients [ 39 ].…”

Section: Methodsmentioning

confidence: 99%

Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis

Lee,

Moon,

Lee

et al. 2024

Sensors

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Nocturnal enuresis (NE) is involuntary bedwetting during sleep, typically appearing in young children. Despite the potential benefits of the long-term home monitoring of NE patients for research and treatment enhancement, this area remains underexplored. To address this, we propose NEcare, an in-home monitoring system that utilizes wearable devices and machine learning techniques. NEcare collects sensor data from an electrocardiogram, body impedance (BI), a three-axis accelerometer, and a three-axis gyroscope to examine bladder volume (BV), heart rate (HR), and periodic limb movements in sleep (PLMS). Additionally, it analyzes the collected NE patient data and supports NE moment estimation using heuristic rules and deep learning techniques. To demonstrate the feasibility of in-home monitoring for NE patients using our wearable system, we used our datasets from 30 in-hospital patients and 4 in-home patients. The results show that NEcare captures expected trends associated with NE occurrences, including BV increase, HR increase, and PLMS appearance. In addition, we studied the machine learning-based NE moment estimation, which could help relieve the burdens of NE patients and their families. Finally, we address the limitations and outline future research directions for the development of wearable systems for NE patients

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Section: Methodsmentioning

confidence: 99%

Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis

Lee,

Moon,

Lee

et al. 2024

Sensors

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“…In contrast to static imaging with ultrasound, CT or nuclear magnetic resonance, EIT allows continuous (up to a dozen hours) diagnostics of urinary tract function. The great advantages of this method are its low invasiveness, long-term evaluation of urinary tract function and the relatively low price of performing the test [ 5 , 6 , 7 , 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking

Baran¹,

Kozłowski

Majerek

et al. 2023

Sensors

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The article presents the implementation of artificial intelligence algorithms for the problem of discretization in Electrical Impedance Tomography (EIT) adapted for urinary tract monitoring. The primary objective of discretization is to create a finite element mesh (FEM) classifier that will separate the inclusion elements from the background. In general, the classifier is designed to detect the area of elements belonging to an inclusion revealing the shape of that object. We show the adaptation of supervised learning methods such as logistic regression, decision trees, linear and quadratic discriminant analysis to the problem of tracking the urinary bladder using EIT. Our study focuses on developing and comparing various algorithms for discretization, which perfectly supplement methods for an inverse problem. The innovation of the presented solutions lies in the originally adapted algorithms for EIT allowing for the tracking of the bladder. We claim that a robust measurement solution with sensors and statistical methods can track the placement and shape change of the bladder, leading to effective information about the studied object. This article also shows the developed device, its functions and working principle. The development of such a device and accompanying information technology came about in response to particularly strong market demand for modern technical solutions for urinary tract rehabilitation.

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Flexi-EIT: A Flexible and Reconfigurable Active Electrode Electrical Impedance Tomography System

Wang,

Lu,

Huang

et al. 2024

IEEE Trans. Biomed. Circuits Syst.

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Investigation of Bladder Volume Measurement Based on Fringe Effect of Electrical Impedance Tomography Sensors

Cited by 5 publications

References 29 publications

Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis

Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis

Application of Machine Learning Algorithms to the Discretization Problem in Wearable Electrical Tomography Imaging for Bladder Tracking

Flexi-EIT: A Flexible and Reconfigurable Active Electrode Electrical Impedance Tomography System

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