A team at the UK's Cambridge University has created an application to collect the speaking, breathing and coughing sounds of participants in the hope of building predictive models to "contribute to the early diagnosis of COVID-19".
Development has been led by Professor Cecilia Mascolo from the university's Department of Computer Science and Technology, "an expert in mobile health and mobile data analysis", according to her bio, with input on the clinical aspects from professor of respiratory biology Andres Floto, also research director of the Cambridge Centre for Lung Infection at Papworth Hospital. The app is partly funded by the European Research Council.
Mascolo said: "Having spoken to doctors, one of the most common things they have noticed about patients with the virus is the way they catch their breath when they're speaking, as well as a dry cough, and the intervals of their breathing patterns. There are very few large datasets of respiratory sounds, so to make better algorithms that could be used for early detection, we need as many samples from as many participants as we can get. Even if we don't get many positive cases of coronavirus, we could find links with other health conditions."
Predictive models work by collecting large data samples that are already categorised to develop algorithms that can be applied to new samples and make predictions about them.
The app is already online and consists of a questionnaire about your health, including whether or not you have tested positive for COVID-19, along with an invitation to submit three recordings, one of breathing, one of coughing, and one of speaking. The app also records your location - though you cannot type this in, it relies on a geolocation API. Android and iOS versions will be available soon.
Provided you can live with that, the researchers say that they need many participants so maybe it is time to cough up. ®
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