Non-Invasive Assessment of Lung Water Content Using Chest Patch RF Sensors: A Computer Study Using NIH Patients CT Scan Database and AI Classification Algorithms

Non-Invasive Assessment of Lung Water Content Using Chest Patch RF Sensors: A Computer Study Using NIH Patients CT Scan Database and AI Classification Algorithms

Chronic heart failure, pulmonary hypertension, acute respiratory distress syndrome (ARDS), coronavirus disease (COVID), and kidney failure are leading causes of death in the U.S. and across the globe. The cornerstone for managing these diseases is assessing patients’ volume fluid status i...

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Bibliographic Details
Main Authors: Christopher Leong, Yuanzhang Xiao, Zhengqing Yun, Magdy F. Iskander
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Biomedical measurements
biomedical monitoring
mobile measurements
RF sensors
artificial intelligence
machine learning
Online Access:https://ieeexplore.ieee.org/document/10024273/

Internet

https://ieeexplore.ieee.org/document/10024273/

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