Audio-based Mobile Health Diagnostics

Project description

Unlocking the potential of mobile health

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.

Fields of science

• natural sciences › computer and information sciences
• humanities › languages and literature › linguistics › phonetics

Programme(s)

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)

Topic(s)

• ERC-2018-ADG - ERC Advanced Grant

Call for proposal

ERC-2018-ADG
See other projects for this call

Funding Scheme

ERC-ADG - Advanced Grant

Host institution

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

Address

Trinity Lane The Old Schools
CB2 1TN Cambridge
United Kingdom

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 2 493 724

Beneficiaries (1)

THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

United Kingdom

EU contribution

€ 2 493 724

Address

Trinity Lane The Old Schools
CB2 1TN Cambridge

Activity type

Higher or Secondary Education Establishments