Revolution of sleep diagnostics and personalized health care based on digital diagnostics and therapeutics with health data integration

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/2007001

Funding Status
Status not available

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Funded Activity Summary

Almost 1 billion people suffer from sleep apnoea. Unfortunately, the current diagnostic metric relates poorly to the symptoms and comorbidities of sleep apnoea merely measuring the frequency of breathing cessations. We aim to develop machine learning techniques to better estimate sleep apnoea severity. These techniques are implemented to high-end wearables developed in this project. Finally, we aim to design a digital diagnostic platform and create new standardised guidelines for sleep medicine.

Funded Activity Details

Start Date: 01-01-2021

End Date: End date not available

Funding Scheme: International Collaborations

Funding Amount: $500,000.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

biomedical engineering | obstructive sleep apnoea | sleep | somnolence

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