Personalised Sleep Health

SleepFix® is a novel mobile application for consumers with poor sleep developed by researchers at the Woolcock Institute of Medical Research and the University of Sydney.

The software delivers behavioural therapy targeting insomnia and insomnia-like symptoms, and is fully integrated with a wearable device (FitBit). 

It has undergone extensive clinical testing with three studies completed. The app uses an evidence-based behavioural therapy to treat insomnia, and is being further developed for a number of applications related to consumers with sleep health problems.

For more information, please contact A/Prof Chris Gordon at christopher.gordon@sydney.edu.au or visit https://www.sfix.com.au.

The Philips SmartSleep Analyzer is an automated decision support system that underpins a major shift in the approach to sleep health management. 

The tool comprises a comprehensive online sleep health support ecosystem for those seeking solutions online. 

The tool was developed with sleep physicians and specialists to provide personalised feedback and recommendations to help users take charge of their sleep. 

It can be integrated into applications to identify symptoms and potential solutions for a number of sleep issues including short sleep, circadian rhythm misalignment, shift work disorder, trouble falling asleep and staying asleep, snoring and obstructive sleep apnoea. 

Personalised results provide the user with guidance on available treatments. It is available as a digital solution on Philips.com, as part of the Philips SmartSleep suite of solutions.

More information is available here: https://www.smartsleep-analyzer.philips.com. 

To find out more on how you can better manage your sleep, visit workalert.org.au. 

Alertness CRC partners The Woolcock Institute of Medical Research, Flinders University, and Adelaide Institute of Sleep Health developed a toolkit designed to identify vulnerability to alertness failure for those suffering from obstructive sleep apnoea. 

This validated approach to phenotyping included neurobehavioral, physiological and electrophysical markers, which were assessed against retrospective real-world outcome of driving performance.

For more information, please contact A/Prof Andrew Vakulin at andrew.vakulin@flinders.edu.au.