Snore Analysis for the Diagnosis of Apnoea (2006)

Abstract:
Obstructive Sleep Apnoea (OSA) is a disease caused by the collapse of the upper air passage during sleep. It is a serious risk factor for a range of debilitating diseases such as stroke, heart disease and traffic accidents. OSA is widespread in society but over 90% patients remain undiagnosed at present. Standard test (PSG) requires a full night hospital stay connected to over 15 sensors requiring physical contact. PSG is unsuitable for community screening. Snoring is almost universally present in OSA. We aim to develop enabling new technology to mass screen OSA, based on non-contact snore recordings. Outcomes of the project are snore processing algorithms and implementations, with potential to revolutionize the management of OSA.
Grant type:
UQ External Support Enabling Grant
Researchers:
  • Honorary Associate Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
Funded by:
The University of Queensland