This work develops a simple and low-cost microphone-based spirometer with a scalable infrastructure that can be used to monitor COPD and Asthma symptoms. The data acquired from the system is archived in the cloud for further procuring and reporting. To develop this system, we utilize an off-the-shelf ESP32 development board, MEMS microphone, oxygen mask, and 3D printable mounting tube to keep the costs low. The system utilizes the MEMS microphone to measure the audio signal of a user's exhalation, calculates diagnostic estimations and uploads the estimations to the cloud to be remotely monitored. Our results show a practical system that can identify COPD and Asthma symptoms and report the data to both the patient and the physician. The system developed can provide a means of gathering respiratory data to better assist doctors and assess patients to provide remote care.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1944266 |
| Date | 05 1900 |
| Creators | Olvera, Alejandro |
| Contributors | Ludi, Stephanie A, Pottathuparambil, Robin J, Thompson, Mark A, Fu, Song |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Olvera, Alejandro, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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