The University of Queensland

Breathing and snoring Sound Analysis in Sleep Apnea (2012–2014)

Abstract:

Obstructive Sleep Apnoea (OSA) is a widespread disease caused by the collapse of the upper airways in sleep. Almost all OSA patients snore, but not all snorers have OSA. We will develop electronics and pattern recognition algorithms to classify snorers into OSA/non-OSA classes using innovative technology inspired by advanced speech recognition algorithms. The standard OSA test, Polysomnography (PSG) requires a full night laboratory stay connected to 15-20 sensors requiring physical contact. Our technology uses snore/breathing sounds recorded using a non-contact microphone and is fully automated. Research Outcomes provide technology for OSA community screening, and also deliver the first non-contact paediatric OSA monitor in the world.

Grant type:

ARC Discovery Projects

Researchers:

• 

  Dr Udantha Abeyratne

  Honorary Associate Professor
  

  School of Electrical Engineering and Computer Science

  Faculty of Engineering, Architecture and Information Technology

Funded by:

Australian Research Council