Audio-based Mobile Health Diagnostics

Advances in mobile technology are improving the reach of healthcare services. More and more patients today are accessing healthcare services remotely, from anywhere and anytime. The increasing sophistication of mobile health applications also offers new ranges of sensing and computation. For instance, audio sensing through smartphone microphones can assist with diagnoses. The EU-funded EAR project will investigate the use of audio data and the challenges related to collecting this kind of sensitive data. The project will propose models to link sounds to disease diagnosis and deal with the inherent issues raised by in-the-wild sensing: noise and privacy concerns. With over 100 000 mHealth apps currently available on the market, the findings will prove particularly timely.