Classification of Electrical Impedance Tomography Data Using Machine Learning
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2021)
Abstract
Patients suffering from pulmonary diseases typically exhibit pathological lung ventilation in terms of homogeneity. Electrical Impedance Tomography (EIT) is a non- invasive imaging method that allows to analyze and quantify the distribution of ventilation in the lungs. In this article, we present a new approach to promote the use of EIT data and the implementation of new clinical applications for ...
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Key words
Electrical impedance tomography,Correlation,Pulmonary diseases,Lung,Imaging,Machine learning,Ventilation
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