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

Dylan Hall, Anthony Gladdney, Yasimine Labriny, Y. Alqudah
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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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检测呼吸异常的移动应用呼吸分析仪的开发
这项工作提出了一种监测呼吸模式的解决方案,以发现任何异常迹象,并确保肺系统正常通气。该解决方案包括跟踪和检测咳嗽的能力。该系统可用于个人监测呼吸或运动员监测运动时的表现。该解决方案利用Edge Impulse实现的机器学习算法对呼吸模式进行分类和分析。它还具有用户移动应用程序,用于记录和传输数据并接收分类结果。
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