Modeling and Analysis of Lung Water Content Using RF Sensor

Abnormal fluid buildup in the lungs, termed pulmonary edema (PE), is a result of congestive heart failure. It is a life-threatening condition, and early detection and prompt treatment can help save lives. In this article, we demonstrate the feasibility of using a microwave sensor to monitor changes...

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Main Authors: Prapti Ganguly, Shreyasi Das, Amlan Chakrabarti, Jawad Yaseen Siddiqui
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Instrumentation and Measurement
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10380229/
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author Prapti Ganguly
Shreyasi Das
Amlan Chakrabarti
Jawad Yaseen Siddiqui
author_facet Prapti Ganguly
Shreyasi Das
Amlan Chakrabarti
Jawad Yaseen Siddiqui
author_sort Prapti Ganguly
collection DOAJ
description Abnormal fluid buildup in the lungs, termed pulmonary edema (PE), is a result of congestive heart failure. It is a life-threatening condition, and early detection and prompt treatment can help save lives. In this article, we demonstrate the feasibility of using a microwave sensor to monitor changes in lung water content and hence detect PE. The research paper utilizes a combination of the Debye and Maxwell models, along with the Cole–Cole equation, to evaluate alterations in the dielectric properties and conductivity of lung tissue. By incorporating elements such as air and water found within the tissue, this dielectric model has been employed to foresee how lung tissues behave when subjected to different levels of hydration and inflation. A printed antenna resonating at 2.4 GHz was designed to work as a sensor. The static dielectric parameters of lung tissue at various water volume fractions were calculated at 2.4 GHz using the Debye–Maxwell model. These parameters were substituted in the Cole–Cole equation to calculate the dielectric constant of lung tissue for different levels of water in the lungs. These values were then substituted in the simulation environment, where the sensor is placed on blocks modeling the human thorax. This work is a first of its kind where the dielectric parameters at different levels of hydration have been previously estimated using mathematical models and substituted accordingly in the modeling environment to test the possibility of detection of PE with high precision. It was observed that the magnitude of the reflection coefficient values changes with increasing water volume fraction, making the microwave method of detection of PE feasible and a reliable technique.
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institution Kabale University
issn 2768-7236
language English
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spelling doaj-art-8b4041859c4240508b197a6dbc15dbeb2025-01-15T00:04:14ZengIEEEIEEE Open Journal of Instrumentation and Measurement2768-72362024-01-0131810.1109/OJIM.2023.334890410380229Modeling and Analysis of Lung Water Content Using RF SensorPrapti Ganguly0https://orcid.org/0009-0006-7861-8785Shreyasi Das1https://orcid.org/0000-0001-7178-3477Amlan Chakrabarti2https://orcid.org/0000-0003-4380-3172Jawad Yaseen Siddiqui3https://orcid.org/0000-0002-3322-847XA. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, IndiaInstitute of Radio-Physics and Electronics, University of Calcutta, Kolkata, IndiaA. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, IndiaInstitute of Radio-Physics and Electronics, University of Calcutta, Kolkata, IndiaAbnormal fluid buildup in the lungs, termed pulmonary edema (PE), is a result of congestive heart failure. It is a life-threatening condition, and early detection and prompt treatment can help save lives. In this article, we demonstrate the feasibility of using a microwave sensor to monitor changes in lung water content and hence detect PE. The research paper utilizes a combination of the Debye and Maxwell models, along with the Cole–Cole equation, to evaluate alterations in the dielectric properties and conductivity of lung tissue. By incorporating elements such as air and water found within the tissue, this dielectric model has been employed to foresee how lung tissues behave when subjected to different levels of hydration and inflation. A printed antenna resonating at 2.4 GHz was designed to work as a sensor. The static dielectric parameters of lung tissue at various water volume fractions were calculated at 2.4 GHz using the Debye–Maxwell model. These parameters were substituted in the Cole–Cole equation to calculate the dielectric constant of lung tissue for different levels of water in the lungs. These values were then substituted in the simulation environment, where the sensor is placed on blocks modeling the human thorax. This work is a first of its kind where the dielectric parameters at different levels of hydration have been previously estimated using mathematical models and substituted accordingly in the modeling environment to test the possibility of detection of PE with high precision. It was observed that the magnitude of the reflection coefficient values changes with increasing water volume fraction, making the microwave method of detection of PE feasible and a reliable technique.https://ieeexplore.ieee.org/document/10380229/Cole–Cole modelcoupled Debye and Maxwell modelsdielectric properties of lungmicrowave sensorpulmonary edema (PE)
spellingShingle Prapti Ganguly
Shreyasi Das
Amlan Chakrabarti
Jawad Yaseen Siddiqui
Modeling and Analysis of Lung Water Content Using RF Sensor
IEEE Open Journal of Instrumentation and Measurement
Cole–Cole model
coupled Debye and Maxwell models
dielectric properties of lung
microwave sensor
pulmonary edema (PE)
title Modeling and Analysis of Lung Water Content Using RF Sensor
title_full Modeling and Analysis of Lung Water Content Using RF Sensor
title_fullStr Modeling and Analysis of Lung Water Content Using RF Sensor
title_full_unstemmed Modeling and Analysis of Lung Water Content Using RF Sensor
title_short Modeling and Analysis of Lung Water Content Using RF Sensor
title_sort modeling and analysis of lung water content using rf sensor
topic Cole–Cole model
coupled Debye and Maxwell models
dielectric properties of lung
microwave sensor
pulmonary edema (PE)
url https://ieeexplore.ieee.org/document/10380229/
work_keys_str_mv AT praptiganguly modelingandanalysisoflungwatercontentusingrfsensor
AT shreyasidas modelingandanalysisoflungwatercontentusingrfsensor
AT amlanchakrabarti modelingandanalysisoflungwatercontentusingrfsensor
AT jawadyaseensiddiqui modelingandanalysisoflungwatercontentusingrfsensor