Description
This project aims to develop a new technology and technique that will aid in the relatively automated detection of respiratory-related changes that are exacerbated by air pollutants (e.g. lung function/respiratory changes due to air-pollution-induced asthma). This work involves understanding air transport in the human respiratory system (including the chemical and physiological impacts of air pollutants), advancing the state of the art in sensing, acoustic signal processing, and machine learning to enhance automation.
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Details
Title
- An Analysis of Air Transport Within the Human Respiratory System
Contributors
- Spohn, Ally (Author)
- Andino, Jean (Thesis director)
- Labban, Dillon (Committee member)
- Barrett, The Honors College (Contributor)
- Chemical Engineering Program (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2022-05
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