data source: https://bhichallenge.med.auth.gr/
Respiratory sounds are important indicators of respiratory health and respiratory disorders. The sound emitted when a person breathes is directly related to air movement, changes within lung tissue and the position of secretions within the lung. A wheezing sound, for example, is a common sign that a patient has an obstructive airway disease like asthma or chronic obstructive pulmonary disease (COPD).
The goal of this project is to build a mobile app that can detect coughing and breathing sounds and analyze these sounds using algorithms developed by machine learning, then accurately produce a diagnosis or measure the severity of a patient’s respiratory condition. The project objectives also include achieving knowledge about machine learning and developing a mobile app in Java programming language by using the Android Studio tool.
In this app, we could detect 6 situation of the patients : bronchiectasis, pneumonia, bronchiolitis, COPD, URTI, and healthy.
First, pressing Record and start recording your coughing (recommend) or breathing sound for at least 10 seconds
Then Stop button is for finishing, we can play sound by Play to check the audio
Next we use Upload to send audio file recorded to our Flask server
Finally, we get our result by Predict button