Detecting Lung Diseases from Exhaled Aerosols: Non-Invasive Lung Diagnosis Using Fractal Analysis and SVM Classification

BACKGROUND: Each lung structure exhales a unique pattern of aerosols, which can be used to detect and monitor lung diseases non-invasively. The challenges are accurately interpreting the exhaled aerosol fingerprints and quantitatively correlating them to the lung diseases. OBJECTIVE AND METHODS: In...

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Detalles Bibliográficos
Autores principales: Xi, Jinxiang, Zhao, Weizhong, Yuan, Jiayao Eddie, Kim, JongWon, Si, Xiuhua, Xu, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589383/
https://www.ncbi.nlm.nih.gov/pubmed/26422016
http://dx.doi.org/10.1371/journal.pone.0139511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589383/
https://www.ncbi.nlm.nih.gov/pubmed/26422016
http://dx.doi.org/10.1371/journal.pone.0139511

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