Cargando…
Exhaled Aerosol Pattern Discloses Lung Structural Abnormality: A Sensitivity Study Using Computational Modeling and Fractal Analysis
BACKGROUND: Exhaled aerosol patterns, also called aerosol fingerprints, provide clues to the health of the lung and can be used to detect disease-modified airway structures. The key is how to decode the exhaled aerosol fingerprints and retrieve the lung structural information for a non-invasive iden...
Autores principales: | Xi, Jinxiang, Si, Xiuhua A., Kim, JongWon, Mckee, Edward, Lin, En-Bing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126729/ https://www.ncbi.nlm.nih.gov/pubmed/25105680 http://dx.doi.org/10.1371/journal.pone.0104682 |
Ejemplares similares
-
Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification
por: Xi, Jinxiang, et al.
Publicado: (2015) -
CFD Modeling and Image Analysis of Exhaled Aerosols due to a Growing Bronchial Tumor: towards Non-Invasive Diagnosis and Treatment of Respiratory Obstructive Diseases
por: Xi, Jinxiang, et al.
Publicado: (2015) -
Electrostatic Charge Effects on Pharmaceutical Aerosol Deposition in Human Nasal–Laryngeal Airways
por: Xi, Jinxiang, et al.
Publicado: (2014) -
Correlating exhaled aerosol images to small airway obstructive diseases: A study with dynamic mode decomposition and machine learning
por: Xi, Jinxiang, et al.
Publicado: (2019) -
Effects of mask-wearing on the inhalability and deposition of airborne
SARS-CoV-2 aerosols in human upper airway
por: Xi, Jinxiang, et al.
Publicado: (2020)