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On the Development of Mobile Application Breathing Analyzer to Detect Breathing Abnormalities
Conference proceeding   Peer reviewed

On the Development of Mobile Application Breathing Analyzer to Detect Breathing Abnormalities

Dylan Hall, Anthony Gladdney, Yasimine Labriny and Yazan A Alqudah
2022 International Conference on Intelligent Data Science Technologies and Applications (IDSTA), pp.13-16
International Conference on Intelligent Data Science Technologies and Applications (IDSTA) (San Antonio, TX, USA, 09/05/2022–09/07/2022)
01/01/2022
DOI: https://doi.org/10.1109/IDSTA55301.2022.9923202

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Abstract

This work presents a solution to monitor breathing patterns to detect any signs of abnormalities and ensure properly ventilating pulmonary system. The solution includes the ability to track and detect coughing. The system can be used by individuals to monitor breathing or athletes to monitor performance while exercising. The solution utilizes machine learning algorithms implemented through Edge Impulse to classify and analyze breathing patterns. It also features a user mobile application to record and transmit data and receive the classification results.

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